Lets look at ggplot2 barplots
We will make a dataframe based on tooth data
df<-data.frame(dose = c("D0.5", "D1", "D2"),
len = c(4.2, 10, 29.5))
df## dose len
## 1 D0.5 4.2
## 2 D1 10.0
## 3 D2 29.5Making a second data frame
df2 <- data.frame(supp=rep(c("VC", "OJ"), each = 3),
dose = rep(c("D0.5", "D1", "D2"), 2),
len = c(6.8, 15, 33, 4.2, 10, 29.5))
df2## supp dose len
## 1 VC D0.5 6.8
## 2 VC D1 15.0
## 3 VC D2 33.0
## 4 OJ D0.5 4.2
## 5 OJ D1 10.0
## 6 OJ D2 29.5Load ggplot 2
library(ggplot2)Setting parameters for ggplot
theme_set(
theme_classic() +
theme(legend.position = "top")
)Tooth data for basic barplots
f <- ggplot(df, aes(x = dose, y = len))
f + geom_col()
Adding labels and changing the fill
f + geom_col(fill = "darkblue") +
geom_text(aes(label=len), vjust = -0.3)
Adding labels in the bars
f + geom_col(fill = "darkblue") +
geom_text(aes(label = len), vjust = 1.6, color = "white")
Lets add change the barplot colors by their group
f + geom_col(aes(color = dose), fill = "white") +
scale_color_manual(values = c("blue", "gold", "red"))
Changing the fill
f + geom_col(aes(fill = dose)) +
scale_fill_manual(values = c("blue", "gold", "red"))
Using multiple groups
ggplot(df2, aes(x = dose, y = len)) +
geom_col(aes(color = supp, fill = supp), position = position_stack()) +
scale_color_manual(values = c("blue", "gold")) +
scale_fill_manual(values = c("blue", "gold"))
p <- ggplot(df2, aes(x = dose, y = len)) +
geom_col(aes(color = supp, dill = supp), position = position_dodge(0.8), width = 0.7) +
scale_color_manual(values = c("blue", "gold")) +
scale_fill_manual(values = c("blue", "gold"))## Warning in geom_col(aes(color = supp, dill = supp), position =
## position_dodge(0.8), : Ignoring unknown aesthetics: dillp
Adding new labels to dodged barplot
p + geom_text(
aes(label = len, group = supp),
position = position_dodge(0.8),
vjust = -0.3, size = 5.5
)
Adding labels to the stacked barplots. Using dplyr.
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, uniondf2 <- df2 %>%
group_by(dose) %>%
arrange(dose,desc(supp)) %>%
dplyr::mutate(lab_ypos = cumsum(len) - 0.5 * len)df2## # A tibble: 6 × 4
## # Groups: dose [3]
## supp dose len lab_ypos
## <chr> <chr> <dbl> <dbl>
## 1 VC D0.5 6.8 3.4
## 2 OJ D0.5 4.2 8.9
## 3 VC D1 15 7.5
## 4 OJ D1 10 20
## 5 VC D2 33 16.5
## 6 OJ D2 29.5 47.8Recreating the stacked graphs
ggplot(df2,aes(x = dose, y = len)) +
geom_col(aes(fill = supp), width = 0.7) +
geom_text(aes(y = lab_ypos, label = len, group = supp), color = "white") +
scale_color_manual(values = c("blue", "gold")) +
scale_fill_manual(values = c("blue", "gold"))
Looking at boxplots
data("ToothGrowth")Changing dose to a factor. Look at the top of dataframe
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
head(ToothGrowth, 4)## len supp dose
## 1 4.2 VC 0.5
## 2 11.5 VC 0.5
## 3 7.3 VC 0.5
## 4 5.8 VC 0.5Loading ggplot
library(ggplot2)Setting theme to classic
theme_set(
theme_bw() +
theme(legend.position = "top")
)Basic box plots. Dose vs Length
tg <- ggplot(ToothGrowth, aes(x = dose, y = len))
tg + geom_boxplot()
Boxplots with points for the mean
tg + geom_boxplot(notch = TRUE, fill = "lightgrey") +
stat_summary(fun.y = mean, geom = "point", shape = 18, size = 2.5, color = "indianred")## Warning: The `fun.y` argument of `stat_summary()` is deprecated as of ggplot2 3.3.0.
## ℹ Please use the `fun` argument instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Changing the scale number of included variables and their order
tg + geom_boxplot() +
scale_x_discrete(limits = c("0.5", "2"))## Warning: Removed 20 rows containing missing values (`stat_boxplot()`).
X axis in descending order
tg + geom_boxplot() +
scale_x_discrete(limits = c("2", "1", "0.5"))
Changing boxplot colors by their groups
tg + geom_boxplot(aes(color = dose)) +
scale_color_manual(values = c("indianred", "blue", "green"))
Displaying data with subsets OJ vs Vitamin C
tg2 <- tg + geom_boxplot(aes(fill = supp), position = position_dodge(0.9)) +
scale_fill_manual(values = c("#999999", "#E69F00"))
tg2
Arranging this data as two plots with facet_wrap function
tg2 + facet_wrap(~supp)
#We can use density plots as alternatives to a histogram
set.seed(1234)
wdata = data.frame(
sex = factor(rep(c("F", "M"), each = 200)),
weight = c(rnorm(200, 55), rnorm(200, 58))
)library(dplyr)
mu <- wdata %>%
group_by(sex) %>%
dplyr::summarize(grp.mean = mean(weight))Loading the graphing packages
library(ggplot2)
theme_set(
theme_classic() +
theme(legend.position = "right")
)Basic plot functions using ggplot object
d <- ggplot(wdata, aes(x = weight))Basic density plot
d + geom_density() +
geom_vline(aes(xintercept = mean(weight)), linetype = "dashed")
Changing the y axis to count instead of density
d + geom_density(aes(y = stat(count)), fill = "lightgray") +
geom_vline(aes(xintercept = mean(weight)), linetype = "dashed")## Warning: `stat(count)` was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
d + geom_density(aes(color = sex)) +
scale_color_manual(values = c("darkgray", "gold"))
Filling the density plots
d + geom_density(aes(fill = sex), alpha = 0.4) +
geom_vline(aes(xintercept = grp.mean, color = sex), data = mu, linetype = "dashed") +
scale_color_manual(values = c("grey", "gold")) +
scale_fill_manual(values = c("grey", "gold"))
Histograms
set.seed(1234)
wdata = data.frame(
sex = factor(rep(c("F", "M"), each = 200)),
weight = c(rnorm(200, 50), rnorm(200, 58))
)
head(wdata, 4)## sex weight
## 1 F 48.79293
## 2 F 50.27743
## 3 F 51.08444
## 4 F 47.65430Loading dplyr
library(dplyr)
mu <- wdata %>%
group_by(sex) %>%
dplyr::summarize(grp.mean = mean(weight))Load the plotting package
library(ggplot2)
theme_set(
theme_classic() +
theme(legend.position = "bottom")
)Creating a ggplot object
a <- ggplot(wdata, aes(x = weight))
a +geom_histogram(bins = 30, color = "black", fill = "grey") +
geom_vline(aes(xintercept = mean(weight)),
linetype = "dashed", size = 0.6)## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Changing the color by group
a + geom_histogram(aes(color = sex), fill = "white", position = "identity") +
scale_color_manual(values = c("#00AFBB", "#E7B800"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
a + geom_histogram(aes(color = sex, fill = sex), position = "identity") +
scale_color_manual(values = c("#00AFBB", "#E7B800"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
scale_fill_manual(values = c("indianred", "lightblue1"))## <ggproto object: Class ScaleDiscrete, Scale, gg>
## aesthetics: fill
## axis_order: function
## break_info: function
## break_positions: function
## breaks: waiver
## call: call
## clone: function
## dimension: function
## drop: TRUE
## expand: waiver
## get_breaks: function
## get_breaks_minor: function
## get_labels: function
## get_limits: function
## guide: legend
## is_discrete: function
## is_empty: function
## labels: waiver
## limits: NULL
## make_sec_title: function
## make_title: function
## map: function
## map_df: function
## n.breaks.cache: NULL
## na.translate: TRUE
## na.value: grey50
## name: waiver
## palette: function
## palette.cache: NULL
## position: left
## range: environment
## rescale: function
## reset: function
## scale_name: manual
## train: function
## train_df: function
## transform: function
## transform_df: function
## super: <ggproto object: Class ScaleDiscrete, Scale, gg>Combining density plots and histograms
a + geom_histogram(aes(y = stat(density)),
color = "black", fill = "white") +
geom_density(alpha = 0.2, fill = "#FF6666")## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
a + geom_histogram(aes(y = stat(density), color = sex),
fill = "white", position = "identity") +
geom_density(aes(color = sex), size = 1) +
scale_color_manual(values = c("indianred", "lightblue1")) ## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Dotplots
Loading packages
library(ggplot2)Setting themes
theme_set(
theme_dark() +
theme(legend.position = "top")
)Initiate ggplot object TG
data("ToothGrowth")
ToothGrowth$dose<- as.factor(ToothGrowth$dose)
tg <- ggplot(ToothGrowth, aes(x = dose, y = len))Dotplot with summary statistics
tg + geom_dotplot(binaxis = "y", stackdir = "center", fill = "lightgray") +
stat_summary(fun = mean, fun.args = list(mult = 1))## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.## Warning: Removed 3 rows containing missing values (`geom_segment()`).
Adding a boxplot and dotplot
tg + geom_boxplot(width = 0.5)
geom_dotplot(binaxis = "y", stackdir = "center", fill = "white")## geom_dotplot: binaxis = y, stackdir = center, stackratio = 1, dotsize = 1, stackgroups = FALSE, na.rm = FALSE
## stat_bindot: binaxis = y, binwidth = NULL, binpositions = bygroup, method = dotdensity, origin = NULL, right = TRUE, width = 0.9, drop = FALSE, na.rm = FALSE
## position_identitytg + geom_violin(trim = FALSE) +
geom_dotplot(binaxis = "y", stackdir = "center", fill = "#999999") +
stat_summary(fun = mean, fun.args = list(mult = 1))## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.## Warning: Removed 3 rows containing missing values (`geom_segment()`).
Creating a dotplot with many groups
tg + geom_boxplot(width = 0.5) +
geom_dotplot(aes(fill = supp), binaxis = "y", stackdir = "center") +
scale_fill_manual(values = c("indianred", "lightblue1"))## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.
tg + geom_boxplot(aes(color = supp), width = 0.5, position = position_dodge(0.8)) +
geom_dotplot(aes(fill = supp, color = supp), binaxis = "y", stackdir = "center",
dotsize = 0.8, position = position_dodge(0.8)) +
scale_fill_manual(values = c("#00AFBB", "#E7B800")) +
scale_color_manual(values = c("#00AFBB", "#E7B800"))## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.
Looking at line plots
Make a custom dataframe like the previous tooth dataset
We can see the lines that we modify
df <- data.frame(dose = c("D0.5", "D1", "D2"),
len = c(4.2, 10, 29.5))Add a second dataframe for plotting by groups
df2 <- data.frame(supp = rep(c("VC", "OJ"), each = 3),
dose = rep(c("D0.5", "D1", "D2"), 2),
len = c(6.8, 15, 33, 4.2, 10, 29.5))
df2## supp dose len
## 1 VC D0.5 6.8
## 2 VC D1 15.0
## 3 VC D2 33.0
## 4 OJ D0.5 4.2
## 5 OJ D1 10.0
## 6 OJ D2 29.5Load ggplot2 and set a theme
library(ggplot2)
theme_set(
theme_gray() +
theme(legend.position = "right")
)Basic line plots. First build a function for different line types
generateRLineTypes <- function(){
oldPar <- par()
par(font = 2, mar = c(0,0,0,0))
plot(1, pch = "", ylim = c(0,6), xlim = c(0,0.7), axes = FALSE, xlab = "", ylab = "")
for(i in 0:6) lines(c(0.3,0.7), c(i,i), lty = i, lwd = 3)
text(rep(0.1,6), 0:6, labels = c("0. 'Blank'", "1. 'solid'", "2. 'dashed'", "3. 'dotted'",
"4. 'dotdash'", "5. 'longdash'", "6. 'twodash'"))
par(mar=oldPar$mar, font=oldPar$font)
}
generateRLineTypes()
Building a basic line plot
p <- ggplot(data = df, aes(x = dose, y = len, group = 1))
p + geom_line() + geom_point()
Modifying the line type and color
p + geom_line(linetype = "dashed", color = "steelblue") +
geom_point(color = "steelblue")
Step graph indicating a threshold progression
p + geom_step() + geom_point()
making multiple groups. First we will create our ggplot objects
p <- ggplot(df2, aes(x=dose, y=len, group = supp))Changing line types and shapes
p + geom_line(aes(linetype = supp, color = supp)) +
geom_point(aes(shape = supp, color = supp)) +
scale_color_manual(values= c("red", "blue"))
Looking at line plots with a numeric x axis
df3 <- data.frame(supp = rep(c("VC", "OJ"), each = 3),
dose = rep(c("0.5", "1", "2"), 2),
len = c(6.8, 15, 33, 4.2, 10, 29.5))
df3## supp dose len
## 1 VC 0.5 6.8
## 2 VC 1 15.0
## 3 VC 2 33.0
## 4 OJ 0.5 4.2
## 5 OJ 1 10.0
## 6 OJ 2 29.5Plotting both axises as labels
df3$dose <- as.numeric(as.vector(df3$dose))
ggplot(data = df3, aes(x=dose, y=len, goup = supp, color = supp)) +
geom_line() + geom_point()
Line graph with x axis as dates. Economics time series as example
head(economics)## # A tibble: 6 × 6
## date pce pop psavert uempmed unemploy
## <date> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1967-07-01 507. 198712 12.6 4.5 2944
## 2 1967-08-01 510. 198911 12.6 4.7 2945
## 3 1967-09-01 516. 199113 11.9 4.6 2958
## 4 1967-10-01 512. 199311 12.9 4.9 3143
## 5 1967-11-01 517. 199498 12.8 4.7 3066
## 6 1967-12-01 525. 199657 11.8 4.8 3018ggplot(data = economics, aes(x = date, y = pop)) +
geom_line()
Subsetting the data
ss <- subset(economics, date > as.Date("2006-1-1"))
ggplot(data = ss, aes(x = date, y = pop)) + geom_line()
Changing the line size
ggplot(data = economics, aes(x=date, y = pop)) +
geom_line(aes(size = unemploy/pop))
Plotting time series data
ggplot(economics, aes(x = date)) +
geom_line(aes(y = psavert), color = "darkred") +
geom_line(aes(y = uempmed), color = "steelblue", linetype = "twodash")
Makign an area plot
ggplot(economics, aes(x = date)) +
geom_area(aes(y = psavert), fill = "#999999",
color = "#999999", alpha = 0.5) +
geom_area(aes(y = uempmed), fill = "#E69f00",
color = "#E69F00", alpha = 0.5)
Ridgelines
Load packages
library(ggplot2)
library(ggridges)
#BiocManager::install("ggridges")Loading sample data
?airquality air<- ggplot(airquality) + aes(Temp, Month, group = Month) + geom_density_ridges()
air## Picking joint bandwidth of 2.65
Adding more to the graph
library(viridis)## Loading required package: viridisLiteggplot(airquality) + aes(Temp, Month, group = Month, fill = ..x..) +
geom_density_ridges_gradient() +
scale_fill_viridis(option = "C", name = "Temp")## Warning: The dot-dot notation (`..x..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(x)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Picking joint bandwidth of 2.65
Creating a facet plot
library(tidyr)
airquality %>%
gather(key = "Measurement", value = "value", Ozone, Solar.R, Wind, Temp) %>%
ggplot() + aes(value, Month, group = Month) +
geom_density_ridges() +
facet_wrap(~Measurement, scales = "free")## Picking joint bandwidth of 11## Picking joint bandwidth of 40.1## Picking joint bandwidth of 2.65## Picking joint bandwidth of 1.44## Warning: Removed 44 rows containing non-finite values
## (`stat_density_ridges()`).
Plotly Line Graphs
Load packages
library(plotly)##
## Attaching package: 'plotly'## The following object is masked from 'package:ggplot2':
##
## last_plot## The following object is masked from 'package:stats':
##
## filter## The following object is masked from 'package:graphics':
##
## layoutScatter plot of orange dataset
Orange <- as.data.frame(Orange)
plot_ly(data = Orange, x = ~age, y = ~circumference)## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plotly.com/r/reference/#scatter## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plotly.com/r/reference/#scatter-modeAdding more information
plot_ly(data = Orange, x = ~age, y = ~circumference,
color = ~Tree, size = ~age,
text = ~paste("Tree ID", Tree, "<br>Age:", age, "Circ:", circumference)
)## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plotly.com/r/reference/#scatter## No scatter mode specifed:
## Setting the mode to markers
## Read more about this attribute -> https://plotly.com/r/reference/#scatter-mode## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.Creating a random distribution and adding it to the dataframe
trace_1 <- rnorm(35, mean = 120, sd = 10)
new_data <- data.frame(Orange, trace_1)Using the random numbers as lines on the graph
plot_ly(data = new_data, x = ~age, y = ~circumference, color = ~Tree, size = ~age,
text = ~paste("Tree ID:", Tree, "<br>Age:", age, "<br>Circ:", circumference)) %>%
add_trace(y = ~trace_1, mode = 'lines') %>%
add_trace(y = ~circumference, mode = 'markers')## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plotly.com/r/reference/#scatter
## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plotly.com/r/reference/#scatter## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.Graph showing scatters, lines, and labels
plot_ly(data = Orange, x = ~age, y = ~circumference,
color = ~Tree, size = ~circumference,
text = ~paste("Tree ID:", Tree, "<br>Age:", age, "Circ:", circumference)) %>%
add_trace(y = ~circumference, mode = 'markers') %>%
layout(
title = "Plot or Orange data with switchable trace",
updatemenus = list(
list(
type = 'downdrop',
y = 0.8,
buttons = list(
list(method = 'restyle',
args = list('mode', 'markers'),
label = "Marker"
),
list(method = "restyle",
args = list('mode', 'lines'),
labels = "lines"
)
)
)
)
)## No trace type specified:
## Based on info supplied, a 'scatter' trace seems appropriate.
## Read more about this trace type -> https://plotly.com/r/reference/#scatter## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.Plotly_3D
Load packages
library(plotly)Creating a random 3D matrix
d <- data.frame(
x <- seq(1,10, by = 0.5),
y = seq(1,10, by = 0.5)
)
z <- matrix(rnorm(length(d$x) * length(d$y)), nrow = length(d$x), ncol = length(d$y))Plotting 3D data
plot_ly(d, x = ~x, y = ~y, z = ~z) %>%
add_surface()Adding topography to the graph
plot_ly(d, x = ~x, y = ~y, z = ~z) %>%
add_surface(
contours = list(
z = list(
show = TRUE,
usecolormap = TRUE,
highlightcolor = "FFOOOOO",
project = list(z = TRUE)
)
)
)Looking at a 3D scatter plot
plot_ly(longley, x = ~GNP, y = ~Population, z = ~Employed, marker = list(color = ~GNP)) %>%
add_markers()Error Bars
load packages
library(ggplot2)
library(dplyr)
library(plotrix)
theme_set(
theme_classic() +
theme(legend.position = 'top')
)Use tooth data for this exercise
df <- ToothGrowth
df$dose <- as.factor(df$dose)Using dplyr to manipulate the purpose
df.summary <- df %>%
group_by(dose) %>%
dplyr::summarize(
sd = sd (len, na.rm = TRUE),
len = mean(len),
)
df.summary## # A tibble: 3 × 3
## dose sd len
## <fct> <dbl> <dbl>
## 1 0.5 4.50 10.6
## 2 1 4.42 19.7
## 3 2 3.77 26.1Looking at key functions
* geom_crossbar() for hollow bars with middle indicated by a horizontal line
* geom_errorbar() for error bars
* geom_errorbarh() for horizontal error bars
* geom_linerange() for drawing intervals for vertical lines
* geom_pointrange() for intervals in vertical lines; with a point in the middle
Creating a ggplot object
tg <- ggplot(
df.summary,
aes(x = dose, y = len, ymin = len - sd, ymax = len + sd)
)Basic error bars
tg + geom_pointrange()
tg + geom_errorbar(width = 0.2) +
geom_point(size = 1.5)
Creating a horizontal error bar by manipulating the graph
ggplot(df.summary, aes(x = len, y = dose, xmin = len - sd, xmax = len + sd)) +
geom_point() +
geom_errorbarh(height = 0.2)
This shows the error bars on the horizontal axis
Add jitter points to the data
ggplot(df, aes(dose, len)) +
geom_jitter(poition = position_jitter(0.2), color = "darkgray") +
geom_pointrange(aes(ymin = len - sd, ymax = len + sd), data = df.summary)## Warning in geom_jitter(poition = position_jitter(0.2), color = "darkgray"):
## Ignoring unknown parameters: `poition`
Violin plot example
ggplot(df,aes(dose, len)) +
geom_violin(color = "darkgray", trim = FALSE) +
geom_pointrange(aes(ymin = len - sd, ymax = len + sd), data = df.summary)
A line graph example
ggplot(df.summary, aes(dose, len)) +
geom_line(aes(group = 1)) +
geom_errorbar(aes(ymin = len-sd, ymax = len+sd), width = 0.2) +
geom_point(size = 2)
Bar graph with halve error bars
ggplot(df.summary, aes(dose, len)) +
geom_col(fill = "lightgrey", color = "black") +
geom_errorbar(aes(ymin = len, ymax = len + sd), width = 0.2)
You can see this cuts our error bar in halve by not specifying wmin = len-sd
Adding jitter points? Add the df summary for the geom layers
ggplot(df, aes(dose, len)) +
geom_jitter(position = position_jitter(0.2), color = "darkgray") +
geom_line(aes(group = 1), data = df.summary) +
geom_errorbar(
aes(ymin = len - sd, ymax = len + sd),
data = df.summary, width = 0.2) +
geom_point(data = df.summary, size = 0.2)
Adding jitterpoints to the bargraph
ggplot(df, aes(dose, len)) +
geom_col(data = df.summary, fill = NA, color = "black") +
geom_jitter(position = position_jitter(0.5), color = "darkgrey") +
geom_errorbar(aes(ymin = len - sd, ymax = len + sd),
data = df.summary, width = 0.2)
Error bars per group shown
df.summary2 <- df %>%
group_by(dose, supp) %>%
dplyr::summarize(
sd = sd(len),
stderr = std.error(len),
len = mean(len)
)## `summarise()` has grouped output by 'dose'. You can override using the
## `.groups` argument.df.summary2## # A tibble: 6 × 5
## # Groups: dose [3]
## dose supp sd stderr len
## <fct> <fct> <dbl> <dbl> <dbl>
## 1 0.5 OJ 4.46 1.41 13.2
## 2 0.5 VC 2.75 0.869 7.98
## 3 1 OJ 3.91 1.24 22.7
## 4 1 VC 2.52 0.795 16.8
## 5 2 OJ 2.66 0.840 26.1
## 6 2 VC 4.80 1.52 26.1Mean ad error are shown for each dose and supp
ggplot(df.summary2, aes(dose, len)) +
geom_pointrange(
aes(ymin = len - sd, ymax = len + sd, color = supp),
position = position_dodge(0.3)) +
scale_color_manual(values = c("indianred", "lightblue"))
Line plots woth many error bars
ggplot(df.summary2, aes(dose, len)) +
geom_line(aes(linetype = supp, group = supp)) +
geom_point() +
geom_errorbar(aes(ymin = len - sd, ymax = len +sd, group = supp), width = 0.2)
Now the same is shown for a bar plot
ggplot(df.summary2, aes(dose, len)) +
geom_col(aes(fill = supp), position = position_dodge(0.8), width = 0.7) +
geom_errorbar(
aes(ymin = len - sd, ymax = len + sd, group = supp),
width = 0.2, position = position_dodge(0.8)) +
scale_fill_manual(values = c("indianred", "lightblue"))
Adding jitterpoints
ggplot(df, aes(dose, len, color = supp)) +
geom_jitter(position = position_dodge(0.2)) +
geom_line(aes(group = supp), data = df.summary2) +
geom_point() +
geom_errorbar(aes(ymin = len - sd, ymax = len + sd, group = supp), data = df.summary2, width = 0.2)
ggplot(df, aes(dose, len, color = supp)) +
geom_col(data = df.summary2, position = position_dodge(0.8), width = 0.7, fill = "white") +
geom_jitter(
position = position_jitterdodge(jitter.width = 0.2, dodge.width = 0.8)) +
geom_errorbar(
aes(ymin = len - sd, ymax = len + sd), data = df.summary2,
width = 0.2, position = position_dodge(0.8)) +
scale_color_manual(values = c("indianred", "lightblue")) +
theme(legend.position = "top")
Facet Plots
Multiple plots for a single figure
library(ggpubr)
library(ggplot2)
theme_set(
theme_bw() +
theme(legend.position = "top")
)Creating a boxplot
df <- ToothGrowth
df$dose <- as.factor(df$dose)Creating a plot object
p <- ggplot(df, aes(x = dose, y = len)) +
geom_boxplot(aes(fill = supp), position = position_dodge(0.9)) +
scale_fill_manual(values = c("#00AFBB", "#E7B800"))
p
Gvgplot facet function shown
p + facet_grid(rows = vars(supp))
Facet with multiple variables
p + facet_grid(rows = vars(dose), cols = vars(supp))
p
Side to side facet wrap function
p + facet_wrap(vars(dose), ncol = 2)
Combining plots using ggarrange()
Basic plots
my3cols <- c("#e7B800", "#2E9FDF", "indianred")
ToothGrowth$dose <- as.factor(ToothGrowth$dose)p <- ggplot(ToothGrowth, aes(x = dose, y= len))
bxp <- p + geom_boxplot(aes(color = dose)) +
scale_color_manual(values = my3cols)Doing a dotplot
dp <- p + geom_dotplot(aes(color = dose, fill = dose),
binaxis = 'y', stackdir = 'center') +
scale_color_manual(values = my3cols) +
scale_fill_manual(values = my3cols)Creating a lineplot
lp <- ggplot(economics, aes(x = date, y = psavert)) +
geom_line(color = "indianred")Making the figures
figure <- ggarrange(bxp, dp, lp, labels = c("A", "B", "C"), ncol = 2, nrow = 2)## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.figure
Even more complex
figure2 <- ggarrange(
lp,
ggarrange(bxp, dp, ncol = 2, nlabs = c("B", "C")),
nrow = 2,
labels = "A")## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.## Warning in as_grob.default(plot): Cannot convert object of class character into
## a grob.## Warning in as_grob.default(plot): Cannot convert object of class listggarrange
## into a grob. figure2
ggarrange(
bxp, dp, labels = c("A", "B"),
common.legend = TRUE, legend = "bottom")## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.
Exporting the plot
ggexport( figure2, filenames = "facetfigure.pdf")## file saved to gzfhpmr.pdfWe can add multiple plots to a pdf
ggexport(bxp, dp, lp, filename = "multi.pdf")## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.
## file saved to multi.pdfExporting to pdf
ggexport(bxp, dp, lp, bxp, filename = "test2.pdf", nrow = 2, ncol = 1)## Bin width defaults to 1/30 of the range of the data. Pick better value with
## `binwidth`.
## file saved to test2.pdfLets look at the empirical cumulative distribution function.
##This is defined as a given number percentile of individuals above or below a threshold
set.seed(1234)
wdata = data.frame(
sex = factor(rep(c("F", "M"), each = 200)),
weight = c(rnorm(200, 55), rnorm(200, 58)))Looking at the dataframe
head(wdata, 5)## sex weight
## 1 F 53.79293
## 2 F 55.27743
## 3 F 56.08444
## 4 F 52.65430
## 5 F 55.42912Load plotting package
library(ggplot2)
theme_set(
theme_classic() +
theme(legend.position = "bottom")
)Creating a ECDF plot
ggplot(wdata, aes(x = weight)) +
stat_ecdf(aes(color = sex, linetype = sex),
geom = "step", size = 1.5) +
scale_color_manual(values = c("#00AFBB", "#e7B900")) +
labs(y = "weight")
HEATMAPS
Load packages
library(heatmap3)#install.packages(heatmap3)Getting the data
data <- ldeaths
data2 <- do.call(cbind, split(data, cycle(data)))
dimnames(data2) <- dimnames(.preformat.ts(data))Generating a heat map
heatmap(data2)
heatmap(data2, Rowv = NA, Colv = NA)
Changing the colors
rc <- rainbow(nrow(data2), start = 0, end = 0.3)
cc <- rainbow(ncol(data2), start = 0, end = 0.3)Applying color selection
heatmap(data2, ColSideColors = cc)
library(RColorBrewer)
heatmap(data2, ColSideColors = cc,
col = colorRampPalette(brewer.pal(8, "PiYG"))(25))
More customization
heatmap(data2, ColSideColors = cc, scale = "column")
library(gplots)##
## Attaching package: 'gplots'## The following object is masked from 'package:plotrix':
##
## plotCI## The following object is masked from 'package:stats':
##
## lowessheatmap.2(data2, ColSideColors = cc,
col = colorRampPalette(brewer.pal(8, "PiYG"))(25))
QQ plots are used to determine data following a normal distribution
#install.packages("ggpubr")
set.seed(1234)Random data generated
wdata = data.frame(
sex = factor(rep(c("F", "M"), each = 200)),
weight = c(rnorm(200, 55), rnorm(200, 58))
)Setting theme for graphing with ggplot
library(ggplot2)
theme_set(
theme_classic() +
theme(legend.position = "top")
)Creating a qq plot of the weight
ggplot(wdata, aes(sample = weight)) +
stat_qq(aes(color = sex)) +
scale_color_manual(values = c("#0073C2FF", "#FC4E07")) +
labs(y = "weight")
#install.packages(ggpubr)
library(ggpubr)
ggqqplot(wdata, x = "weight",
color = "sex",
palettes = c("#0073C2FF", "#FC4E07"),
ggtheme = theme_pubclean())
Non normal distribution
#install.packages(mnonr)
library(mnonr)
data2 <- mnonr::mnonr(n = 1000, p = 2, ms = 3, mk = 61, Sigma = matrix(c(1, 0.5, 0.5, 1), 2, 2), initial = NULL)
data2 <- as.data.frame(data2)Plotting normal data
ggplot(data2, aes(sample = V1)) +
stat_qq()
ggqqplot(data2, x = "V1",
palette = "#0073C2FF",
ggtheme = theme_pubclean())
Knowing outliers
load packages
library(ggplot2)
library(outliers)
install.packages("readxl")## Installing package into '/home/student/R/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)#install.packages("AirQualityUCI.xlsx")
library(readxl)Reloading dataset
Air_data <- read_xlsx("AirQualityUCI.xlsx")grubbtest for for identifying outliers
grubbs.flag <- function(x) {
#variable called outliers then add it to the variables
outliers <- NULL
#variable called test
test <- x
#grubbs to find outliers
grubbs.result <- grubbs.test(test)
#p values for tested variables
pv <- grubbs.result$p.value
#p values outliers of 0.5
while(pv < 0.05) {
#adding empty vectors
outliers <- c(outliers, as.numeric(strsplit(grubbs.result$alternative, " ")[[1]][3]))
#removing outliers
test <- x[!x %in% outliers]
#run grubbs without outliers
grubbs.results <- grubbs.test(test)
#save new p values
pv <- grubbs.results$p.value
}
return(data.frame(x = x, Outliers = (x %in% outliers)))
}identified_outliers <- grubbs.flag(Air_data$AH)creating a histogram to show outliers
ggplot(grubbs.flag(Air_data$AH), aes(x = Air_data$AH, color = Outliers, fill = Outliers)) +
geom_histogram(bindwith = diff(range(Air_data$AH))/30) +
theme_bw()## Warning in geom_histogram(bindwith = diff(range(Air_data$AH))/30): Ignoring
## unknown parameters: `bindwith`## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Missing values
When you have unusual values, you can move on to the analydid of such data by two options
Dropping the row
library(dplyr)
library(ggplot2)
diamonds <- diamonds
diamonds2 <- diamonds %>%
filter(between(y, 3, 20))Y is the width of the diamond
We see that 3mm and above is excluded
You can also replace the unusual value with missing values
diamonds3 <- diamonds %>%
dplyr::mutate(y = ifelse(y < 3 | y > 20, NA, y))ggplot also agrees that missing values should not pass away
ggplot(data = diamonds3, mapping = aes(x = x, y =y)) +
geom_point()## Warning: Removed 9 rows containing missing values (`geom_point()`).
You can supress the warning by na.rm = TRUE
ggplot(data = diamonds3, mapping = aes(x = x, y = y)) +
geom_point(na.rm = TRUE)
Cancelled vs Non Cancelled NYCflights13 flight times
The missing value is represented by cancellation
library(nycflights13)
nycflights13::flights %>%
dplyr::mutate(
cancelled = is.na(dep_time),
sched_hour = sched_dep_time %/% 100,
sched_min = sched_dep_time %% 100,
sched_dep_time = sched_hour + sched_min / 60
) %>%
ggplot(mapping = aes(sched_dep_time)) +
geom_freqpoly(mapping = aes(color = cancelled), bindwith = 1/4)## Warning in geom_freqpoly(mapping = aes(color = cancelled), bindwith = 1/4):
## Ignoring unknown parameters: `bindwith`## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
CATEGORICAL VARIANCE
library(ggplot2)
ggplot(data = diamonds, mapping = aes(x = price)) +
geom_freqpoly(mapping = aes(color = cut), bindwith = 500)## Warning in geom_freqpoly(mapping = aes(color = cut), bindwith = 500): Ignoring
## unknown parameters: `bindwith`## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
When there is a great amount of difference it is difficult to analyze
ggplot(diamonds) +
geom_bar(mapping = aes(x = cut))
To aid in analyzing you can swap the display.
ggplot(data = diamonds, mapping = aes(x = price, y = ..density..)) +
geom_freqpoly(mapping = aes(color = cut), bindwith = 500)## Warning in geom_freqpoly(mapping = aes(color = cut), bindwith = 500): Ignoring
## unknown parameters: `bindwith`## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Fair diamonds have highest price. Frequency is difficult to interpret.
You can use a boxplot for better value distribution
ggplot(data = diamonds, mapping = aes(x = cut, y = price)) +
geom_boxplot() 
boxplots are more compact and easier to compare
looking at car data
ggplot(data = mpg, mapping = aes(x = class, y = hwy)) +
geom_boxplot()
ggplot(data = mpg) +
geom_boxplot(mapping = aes(x = reorder(class, hwy, FUN = median), y = hwy))
variable names can be flipped 90 degrees
ggplot(data = mpg) +
geom_boxplot(mapping = aes(x = reorder(class, hwy, FUN = median), y = hwy)) +
coord_flip()
Using a scatterplot to help visualize correlations between variables
ggplot(data = diamonds) +
geom_point(mapping = aes(x = carat, y = price))
As a dataset grows, a scatterplot will not be useful
Increased datasets = overplot
Using alpha aesthetic
ggplot(data = diamonds) +
geom_point(mapping = aes(x = carat, y = price), alpha = 1/100)
Exploratory data
Load packages
library(RCurl)##
## Attaching package: 'RCurl'## The following object is masked from 'package:tidyr':
##
## completelibrary(dplyr)Getting the data
site <- "https://raw.githubusercontent.com/nytimes/covid-19-data/master/colleges/colleges.csv"
College_Data <- read.csv(site)Using str function to show the structure of the object
str(College_Data)## 'data.frame': 1948 obs. of 9 variables:
## $ date : chr "2021-05-26" "2021-05-26" "2021-05-26" "2021-05-26" ...
## $ state : chr "Alabama" "Alabama" "Alabama" "Alabama" ...
## $ county : chr "Madison" "Montgomery" "Limestone" "Lee" ...
## $ city : chr "Huntsville" "Montgomery" "Athens" "Auburn" ...
## $ ipeds_id : chr "100654" "100724" "100812" "100858" ...
## $ college : chr "Alabama A&M University" "Alabama State University" "Athens State University" "Auburn University" ...
## $ cases : int 41 2 45 2742 220 4 263 137 49 76 ...
## $ cases_2021: int NA NA 10 567 80 NA 49 53 10 35 ...
## $ notes : chr "" "" "" "" ...Arranging data alphabetically
alphabetical <- College_Data %>%
arrange(College_Data$college)Using glimpse package for reviewing data
glimpse (College_Data)## Rows: 1,948
## Columns: 9
## $ date <chr> "2021-05-26", "2021-05-26", "2021-05-26", "2021-05-26", "20…
## $ state <chr> "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Ala…
## $ county <chr> "Madison", "Montgomery", "Limestone", "Lee", "Montgomery", …
## $ city <chr> "Huntsville", "Montgomery", "Athens", "Auburn", "Montgomery…
## $ ipeds_id <chr> "100654", "100724", "100812", "100858", "100830", "102429",…
## $ college <chr> "Alabama A&M University", "Alabama State University", "Athe…
## $ cases <int> 41, 2, 45, 2742, 220, 4, 263, 137, 49, 76, 67, 0, 229, 19, …
## $ cases_2021 <int> NA, NA, 10, 567, 80, NA, 49, 53, 10, 35, 5, NA, 10, NA, 19,…
## $ notes <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",…Sunsetting with select()
College_Cases <- select(College_Data, college, cases)Subseting with filter function
Louisiana_Cases <- filter(College_Data, state == "Louisiana")Filtering states
South_Cases <- filter(College_Data, state == "Louisiana" | state == "Texas" | state == "Arkansas" | state == "Mississippi")Time series data
load packages
library(lubridate)##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, unionlibrary(dplyr)
library(ggplot2)
library(gridExtra)##
## Attaching package: 'gridExtra'## The following object is masked from 'package:dplyr':
##
## combinelibrary(scales)##
## Attaching package: 'scales'## The following object is masked from 'package:plotrix':
##
## rescale## The following object is masked from 'package:viridis':
##
## viridis_palLoading data
state_site <- "https://raw.githubusercontent.com/nytimes/covid-19-data/master/colleges/colleges.csv"
State_Data <- read.csv(state_site)Group_by object with state columns
state_cases <- group_by(State_Data, state)
class(state_cases)## [1] "grouped_df" "tbl_df" "tbl" "data.frame"easurements from the states
Days_since_first_reported <- tally(state_cases)Visualizing data
Data = what we want to visualize
Layer = elements (geometric) and elements (statistical)
Scales = map values
Coordinate system = data coordinated together
Faceting = breaking up data into groups
theme = finer parts of display
options(repr.plot.width = 6, rep.plot.height = 6)
class(College_Data)## [1] "data.frame"head(College_Data)## date state county city ipeds_id
## 1 2021-05-26 Alabama Madison Huntsville 100654
## 2 2021-05-26 Alabama Montgomery Montgomery 100724
## 3 2021-05-26 Alabama Limestone Athens 100812
## 4 2021-05-26 Alabama Lee Auburn 100858
## 5 2021-05-26 Alabama Montgomery Montgomery 100830
## 6 2021-05-26 Alabama Walker Jasper 102429
## college cases cases_2021 notes
## 1 Alabama A&M University 41 NA
## 2 Alabama State University 2 NA
## 3 Athens State University 45 10
## 4 Auburn University 2742 567
## 5 Auburn University at Montgomery 220 80
## 6 Bevill State Community College 4 NAsummary(College_Data)## date state county city
## Length:1948 Length:1948 Length:1948 Length:1948
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## ipeds_id college cases cases_2021
## Length:1948 Length:1948 Min. : 0.0 Min. : 0.0
## Class :character Class :character 1st Qu.: 32.0 1st Qu.: 23.0
## Mode :character Mode :character Median : 114.5 Median : 65.0
## Mean : 363.5 Mean : 168.1
## 3rd Qu.: 303.0 3rd Qu.: 159.0
## Max. :9914.0 Max. :3158.0
## NA's :337
## notes
## Length:1948
## Class :character
## Mode :character
##
##
##
## Different datasets
iris <- as.data.frame(iris)
class(iris)## [1] "data.frame"head(iris)## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosasummary(iris)## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100
## 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300
## Median :5.800 Median :3.000 Median :4.350 Median :1.300
## Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
## 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
## Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
## Species
## setosa :50
## versicolor:50
## virginica :50
##
##
## Scatteplot for college data
ggplot(data = College_Data, aes(x = cases, y = cases_2021)) +
geom_point() +
theme_minimal()## Warning: Removed 337 rows containing missing values (`geom_point()`).
Iris data
ggplot(data = iris, aes(x = Sepal.Width, y = Sepal.Length)) +
geom_point() +
theme_minimal()
Coordinating data
ggplot(data = College_Data, aes(x = cases, y = cases_2021, color = state)) +
geom_point() +
theme_minimal()## Warning: Removed 337 rows containing missing values (`geom_point()`).
Color Coordinating
ggplot(data = iris, aes(x = Sepal.Width, y = Sepal.Length, color = Species)) +
geom_point() +
theme_minimal()
Histogram for Louisiana Data
hist(Louisiana_Cases$cases, freq = NULL, density = NULL, breaks = 10, xlab = "Total cases", ylab = "Frequency", main = "Total College Covid-19 Infections (Louisiana)")
Histogram for Iris data
hist(iris$Sepal.Width, freq = NULL, density = NULL, breaks = 10, xlab = "Sepal Width",
ylab = "Frequency", main = "Iris Sepal Width")
histogram_college <- ggplot(data = Louisiana_Cases, aes(x = cases))
histogram_college + geom_histogram(bindwidth = 100, color = "black", aes(fill = county)) +
xlab("cases") + ylab("Frequency") + ggtitle("Histogram of Covid 19 cases in Louisiana ")## Warning in geom_histogram(bindwidth = 100, color = "black", aes(fill =
## county)): Ignoring unknown parameters: `bindwidth`## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
ggplot for iris data
histogram_iris <- ggplot(data = iris, aes(x = Sepal.Width))
histogram_iris + geom_histogram(bindwith = 0.2, color = "black", aes(fill = Species)) +
xlab("Sepal Width") + ylab("Frequency") + ggtitle("Histogram of Iris Sepal Width by Species ")## Warning in geom_histogram(bindwith = 0.2, color = "black", aes(fill =
## Species)): Ignoring unknown parameters: `bindwith`## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Using density plots
ggplot(South_Cases) +
geom_density(aes(x = cases, fill = state), alpha = 0.25)
Density plot with iris data
ggplot(iris) +
geom_density(aes(x = Sepal.Width, fill = Species), alpha = 0.25)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, color = Species)) +
geom_violin() +
theme_classic() +
theme(legend.position = "none")
Using South Data
ggplot(data = South_Cases, aes(x = state, y = cases, color = state)) +
geom_violin() +
theme_gray() +
theme(legend.position = "none")
Risidual plots shown on the y axis axis
Independent variable is the x axis
iris data
ggplot(lm(Sepal.Length ~ Sepal.Width, data = iris)) +
geom_point(aes(x =.fitted, y = .resid))
Southern state cases
ggplot(lm(cases ~ cases_2021, data = South_Cases)) +
geom_point(aes(x =.fitted, y = .resid))
Using correlation
obesity <- read.csv("Obesity_insurance.csv")library(tidyr)
library(dplyr)
library(plyr)## ------------------------------------------------------------------------------## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)## ------------------------------------------------------------------------------##
## Attaching package: 'plyr'## The following object is masked from 'package:ggpubr':
##
## mutate## The following objects are masked from 'package:plotly':
##
## arrange, mutate, rename, summarise## The following objects are masked from 'package:dplyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarizestructure of dataset
str(obesity)## 'data.frame': 1338 obs. of 7 variables:
## $ age : int 19 18 28 33 32 31 46 37 37 60 ...
## $ sex : chr "female" "male" "male" "male" ...
## $ bmi : num 27.9 33.8 33 22.7 28.9 ...
## $ children: int 0 1 3 0 0 0 1 3 2 0 ...
## $ smoker : chr "yes" "no" "no" "no" ...
## $ region : chr "southwest" "southeast" "southeast" "northwest" ...
## $ charges : num 16885 1726 4449 21984 3867 ...class(obesity)## [1] "data.frame"summary(obesity)## age sex bmi children
## Min. :18.00 Length:1338 Min. :15.96 Min. :0.000
## 1st Qu.:27.00 Class :character 1st Qu.:26.30 1st Qu.:0.000
## Median :39.00 Mode :character Median :30.40 Median :1.000
## Mean :39.21 Mean :30.66 Mean :1.095
## 3rd Qu.:51.00 3rd Qu.:34.69 3rd Qu.:2.000
## Max. :64.00 Max. :53.13 Max. :5.000
## smoker region charges
## Length:1338 Length:1338 Min. : 1122
## Class :character Class :character 1st Qu.: 4740
## Mode :character Mode :character Median : 9382
## Mean :13270
## 3rd Qu.:16640
## Max. :63770Distribution for insurance
hist(obesity$charges)
using a boxplot
boxplot(obesity$charges)
boxplot(obesity$bmi)
correlations found using cor()
cor(obesity$charges, obesity$bmi)## [1] 0.198341Using Kendal will specify the data
cor(obesity$charges, obesity$bmi, method = 'kendall')## [1] 0.08252397TietjenMoore test for univariate datasets
TietjenMoore <- function(dataSeries, k)
{
n = length(dataSeries)
#compute residuals
r = abs(dataSeries - mean(dataSeries))
#sort by size of residual
df = data.frame(dataSeries, r)
dfs = df[order(df$r),]
#creating a subset with larger values
klarge = c((n-k+1):n)
subdataSeries = dfs$dataSeries[-klarge]
#compute sums of squares
ksub = (subdataSeries = mean(subdataSeries)) **2
all = (df$dataSeries - mean(df$dataSeries)) **2
#compute the statistics
sum(ksub)/sum(all)
}Computing the sum of sqaures
FindOutliersTietjenMooreTest <- function(dataSeries, k, alpha = 0.5) {
ek <- TietjenMoore(dataSeries, k)
#computing critical values
test = c(1:10000)
for (i in 1:10000){
dataSeriesdataSeries = rnorm(length(dataSeries))
test[i] = TietjenMoore(dataSeriesdataSeries, k)}
Talpha = quantile(test, alpha)
list(T = ek, Talpha = Talpha)
}Their function helps compute critical values. Now we can demonstrate their functions.
Simulation determins critical regions.
It uses the standard normal random sample of size.
Looking at the charges
boxplot(obesity$charges)
FindOutliersTietjenMooreTest(obesity$charges, 7)## $T
## [1] 0.000866802
##
## $Talpha
## 50%
## 2.713196e-07BMI
boxplot(obesity$bmi)
FindOutliersTietjenMooreTest(obesity$bmi, 2)## $T
## [1] 0.01886975
##
## $Talpha
## 50%
## 2.55951e-07probability plots
library(ggplot2)
library(tigerstats)## Loading required package: abd## Loading required package: nlme##
## Attaching package: 'nlme'## The following object is masked from 'package:dplyr':
##
## collapse## Loading required package: lattice## Loading required package: grid## Loading required package: mosaic## Registered S3 method overwritten by 'mosaic':
## method from
## fortify.SpatialPolygonsDataFrame ggplot2##
## The 'mosaic' package masks several functions from core packages in order to add
## additional features. The original behavior of these functions should not be affected by this.##
## Attaching package: 'mosaic'## The following object is masked from 'package:Matrix':
##
## mean## The following object is masked from 'package:plyr':
##
## count## The following object is masked from 'package:scales':
##
## rescale## The following object is masked from 'package:plotrix':
##
## rescale## The following object is masked from 'package:plotly':
##
## do## The following objects are masked from 'package:dplyr':
##
## count, do, tally## The following object is masked from 'package:ggplot2':
##
## stat## The following objects are masked from 'package:stats':
##
## binom.test, cor, cor.test, cov, fivenum, IQR, median, prop.test,
## quantile, sd, t.test, var## The following objects are masked from 'package:base':
##
## max, mean, min, prod, range, sample, sum## Welcome to tigerstats!
## To learn more about this package, consult its website:
## http://homerhanumat.github.io/tigerstatsWe use this for density to then determine probability of events to occur.
Mean is 100 and standard deviation is 15
Density is
bmi.mean <- mean(obesity$bmi)
bmi.sd <- sd(obesity$bmi)normal distribution
bmi.dist <- dnorm(obesity$bmi, mean = bmi.mean, sd = bmi.sd)
bmi.df <- data.frame("bmi" = obesity$bmi, "Density" = bmi.dist)
ggplot(bmi.df, aes(x = bmi, y = Density)) +
geom_point()
Probabilty analysis continued
bmi.dist <- pnorm(obesity$bmi, mean = bmi.mean, sd = bmi.sd)
bmi.df <- data.frame("bmi" = obesity$bmi, "Density" = bmi.dist)
ggplot(bmi.df, aes(x = bmi, y = Density)) +
geom_point()
BMI greater than 40
pp_greater <- function(x) {
paste(round(100 * pnorm(x, mean = 30.66339, sd = 6.09818, lower.tail = FALSE), 2), "%")
}
pp_greater(40)## [1] "6.29 %"pnormGC(40, region = "above", mean = 30.66339, sd = 6.09818, graph = "TRUE")
## [1] 0.06287869BMI less than 40
pp_less <- function(x) {
paste(round(100 * (1-pnorm(x, mean = 30.66339, sd = 6.09818, lower.tail = FALSE)), 2), "%")
}
pp_less(40)## [1] "93.71 %"pnormGC(40, region = "below", mean = 30.66339, sd = 6.09818, graph = "TRUE")
## [1] 0.9371213Area in between
pnormGC(c(20, 40), region = "between", mean = 30.66339, sd = 6.09818, graph = TRUE)
## [1] 0.8969428to use quantiles we use the qnorm function
qnorm(0.01, mean = 30.66339, sd = 6.09818, lower.tail = TRUE)## [1] 16.4769random sample from distribution?
subset <- rnorm(50, mean = 30.66339, sd = 6.09818)
hist(subset)
subset2 <- rnorm(50000, mean = 30.66339, sd = 6.09818)
hist(subset2)
Shapiro Wilk Test
Did the samples come from a normal distribution?
shapiro.test(obesity$charges[1:5])##
## Shapiro-Wilk normality test
##
## data: obesity$charges[1:5]
## W = 0.84164, p-value = 0.1695increasing the sample size
shapiro.test(obesity$charges[1:1000])##
## Shapiro-Wilk normality test
##
## data: obesity$charges[1:1000]
## W = 0.8119, p-value < 2.2e-16Look at age
shapiro.test(obesity$age[1:1000])##
## Shapiro-Wilk normality test
##
## data: obesity$age[1:1000]
## W = 0.94406, p-value < 2.2e-16bmi
shapiro.test(obesity$bmi[1:1000])##
## Shapiro-Wilk normality test
##
## data: obesity$bmi[1:1000]
## W = 0.99471, p-value = 0.001426Series data
library(readr)##
## Attaching package: 'readr'## The following object is masked from 'package:scales':
##
## col_factorlibrary(readxl)
Air_data <- read_xlsx("AirQualityUCI.xlsx")date = date of measurement
time = time of measurment
str(Air_data)## tibble [9,357 × 15] (S3: tbl_df/tbl/data.frame)
## $ Date : POSIXct[1:9357], format: "2004-03-10" "2004-03-10" ...
## $ Time : POSIXct[1:9357], format: "1899-12-31 18:00:00" "1899-12-31 19:00:00" ...
## $ CO(GT) : num [1:9357] 2.6 2 2.2 2.2 1.6 1.2 1.2 1 0.9 0.6 ...
## $ PT08.S1(CO) : num [1:9357] 1360 1292 1402 1376 1272 ...
## $ NMHC(GT) : num [1:9357] 150 112 88 80 51 38 31 31 24 19 ...
## $ C6H6(GT) : num [1:9357] 11.88 9.4 9 9.23 6.52 ...
## $ PT08.S2(NMHC): num [1:9357] 1046 955 939 948 836 ...
## $ NOx(GT) : num [1:9357] 166 103 131 172 131 89 62 62 45 -200 ...
## $ PT08.S3(NOx) : num [1:9357] 1056 1174 1140 1092 1205 ...
## $ NO2(GT) : num [1:9357] 113 92 114 122 116 96 77 76 60 -200 ...
## $ PT08.S4(NO2) : num [1:9357] 1692 1559 1554 1584 1490 ...
## $ PT08.S5(O3) : num [1:9357] 1268 972 1074 1203 1110 ...
## $ T : num [1:9357] 13.6 13.3 11.9 11 11.2 ...
## $ RH : num [1:9357] 48.9 47.7 54 60 59.6 ...
## $ AH : num [1:9357] 0.758 0.725 0.75 0.787 0.789 ...library(tidyr)
library(dplyr)
library(lubridate)
library(hms)##
## Attaching package: 'hms'## The following object is masked from 'package:lubridate':
##
## hmslibrary(ggplot2)getting rid of data in time column
Air_data$Time <- as_hms(Air_data$Time)
glimpse(Air_data)## Rows: 9,357
## Columns: 15
## $ Date <dttm> 2004-03-10, 2004-03-10, 2004-03-10, 2004-03-10, 2004-…
## $ Time <time> 18:00:00, 19:00:00, 20:00:00, 21:00:00, 22:00:00, 23:…
## $ `CO(GT)` <dbl> 2.6, 2.0, 2.2, 2.2, 1.6, 1.2, 1.2, 1.0, 0.9, 0.6, -200…
## $ `PT08.S1(CO)` <dbl> 1360.00, 1292.25, 1402.00, 1375.50, 1272.25, 1197.00, …
## $ `NMHC(GT)` <dbl> 150, 112, 88, 80, 51, 38, 31, 31, 24, 19, 14, 8, 16, 2…
## $ `C6H6(GT)` <dbl> 11.881723, 9.397165, 8.997817, 9.228796, 6.518224, 4.7…
## $ `PT08.S2(NMHC)` <dbl> 1045.50, 954.75, 939.25, 948.25, 835.50, 750.25, 689.5…
## $ `NOx(GT)` <dbl> 166, 103, 131, 172, 131, 89, 62, 62, 45, -200, 21, 16,…
## $ `PT08.S3(NOx)` <dbl> 1056.25, 1173.75, 1140.00, 1092.00, 1205.00, 1336.50, …
## $ `NO2(GT)` <dbl> 113, 92, 114, 122, 116, 96, 77, 76, 60, -200, 34, 28, …
## $ `PT08.S4(NO2)` <dbl> 1692.00, 1558.75, 1554.50, 1583.75, 1490.00, 1393.00, …
## $ `PT08.S5(O3)` <dbl> 1267.50, 972.25, 1074.00, 1203.25, 1110.00, 949.25, 73…
## $ T <dbl> 13.600, 13.300, 11.900, 11.000, 11.150, 11.175, 11.325…
## $ RH <dbl> 48.875, 47.700, 53.975, 60.000, 59.575, 59.175, 56.775…
## $ AH <dbl> 0.7577538, 0.7254874, 0.7502391, 0.7867125, 0.7887942,…plot(Air_data$AH, Air_data$RH, main = "Humidity Analysis", xlab = "Absolute Humidity", ylab = "Relative Humidity")
There is an oultlier in the data
t.test(Air_data$RH, Air_data$AH)##
## Welch Two Sample t-test
##
## data: Air_data$RH and Air_data$AH
## t = 69.62, df = 17471, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 45.01707 47.62536
## sample estimates:
## mean of x mean of y
## 39.483611 -6.837604Text Mining
unnest token fundtion
passage as example
text <- c("Because I could not stop from Death = ",
"He kindly stopped for me - ",
"The carriage held but just ourselves - ",
"and Immortality")
text## [1] "Because I could not stop from Death = "
## [2] "He kindly stopped for me - "
## [3] "The carriage held but just ourselves - "
## [4] "and Immortality"This is a character vector
Putting thus into a dataframe
library(dplyr)
text_df <- tibble(line = 1:4, text = text)
text_df## # A tibble: 4 × 2
## line text
## <int> <chr>
## 1 1 "Because I could not stop from Death = "
## 2 2 "He kindly stopped for me - "
## 3 3 "The carriage held but just ourselves - "
## 4 4 "and Immortality"Using unnest_tokens
Using an output column
library(tidytext)
text_df %>%
unnest_tokens(word, text)## # A tibble: 20 × 2
## line word
## <int> <chr>
## 1 1 because
## 2 1 i
## 3 1 could
## 4 1 not
## 5 1 stop
## 6 1 from
## 7 1 death
## 8 2 he
## 9 2 kindly
## 10 2 stopped
## 11 2 for
## 12 2 me
## 13 3 the
## 14 3 carriage
## 15 3 held
## 16 3 but
## 17 3 just
## 18 3 ourselves
## 19 4 and
## 20 4 immortalityUsing janeaustenr package for analyzing texts.
library(janeaustenr)
library(dplyr)
library(stringr)
original_books <- austen_books() %>%
group_by(book) %>%
dplyr::mutate(linenumber = row_number(),
chapter = cumsum(str_detect(text, regex("^chapter[\\divxlc]",
ignore_case = TRUE)))) %>%
ungroup()
original_books ## # A tibble: 73,422 × 4
## text book linenumber chapter
## <chr> <fct> <int> <int>
## 1 "SENSE AND SENSIBILITY" Sense & Sensibility 1 0
## 2 "" Sense & Sensibility 2 0
## 3 "by Jane Austen" Sense & Sensibility 3 0
## 4 "" Sense & Sensibility 4 0
## 5 "(1811)" Sense & Sensibility 5 0
## 6 "" Sense & Sensibility 6 0
## 7 "" Sense & Sensibility 7 0
## 8 "" Sense & Sensibility 8 0
## 9 "" Sense & Sensibility 9 0
## 10 "CHAPTER 1" Sense & Sensibility 10 0
## # ℹ 73,412 more rowsUsing unnext_tokens to work with tidy dataset
library(tidytext)
tidy_books <- original_books %>%
unnest_tokens(word, text)
tidy_books## # A tibble: 725,055 × 4
## book linenumber chapter word
## <fct> <int> <int> <chr>
## 1 Sense & Sensibility 1 0 sense
## 2 Sense & Sensibility 1 0 and
## 3 Sense & Sensibility 1 0 sensibility
## 4 Sense & Sensibility 3 0 by
## 5 Sense & Sensibility 3 0 jane
## 6 Sense & Sensibility 3 0 austen
## 7 Sense & Sensibility 5 0 1811
## 8 Sense & Sensibility 10 0 chapter
## 9 Sense & Sensibility 10 0 1
## 10 Sense & Sensibility 13 0 the
## # ℹ 725,045 more rows##Lines have been separated by tokenizers package
The data is in one row word format
removing stop words with anti_join()
data(stop_words)
tidy_books <- tidy_books %>%
anti_join(stop_words)## Joining with `by = join_by(word)`Using filter() to use one set of stop words
tidy_books %>%
count(word, sort = TRUE)## # A tibble: 13,914 × 2
## word n
## <chr> <int>
## 1 miss 1855
## 2 time 1337
## 3 fanny 862
## 4 dear 822
## 5 lady 817
## 6 sir 806
## 7 day 797
## 8 emma 787
## 9 sister 727
## 10 house 699
## # ℹ 13,904 more rowsusing ggplot2 to visualize the data
library(ggplot2)
tidy_books %>%
count(word, sort = TRUE) %>%
filter(n > 600) %>%
dplyr::mutate(word = reorder(word, n)) %>%
ggplot(aes(n, word)) +
geom_col() +
labs(y = NULL, x = "word count")
Using guntenbergr to access public domain
library(gutenbergr)
darwin <- gutenberg_download(c(944, 1227, 1228, 2300), mirror = "http://mirror.csclub.uwaterloo.ca/gutenberg/")N-Grams
Using tidytext for calculating and visualizing relationships
library(dplyr)
library(tidytext)
darwin_books <- gutenberg_download(c(944, 1227, 1228, 2300), mirror = "http://mirror.csclub.uwaterloo.ca/gutenberg/")
colnames(darwin_books)[1] <- "book"
darwin_books$book[darwin_books$book == 944] <- "The Voyage of the Beagle"
darwin_books$book[darwin_books$book == 1227] <- "The Expression of the Emotions in Man and Animals"
darwin_books$book[darwin_books$book == 1228] <- "On the Origin of Species By Means of Natural Selection"
darwin_books$book[darwin_books$book == 2300] <- "The Descent of Man, and Selection in Relation to Sex"
darwin_bigrams <- darwin_books %>%
unnest_tokens(bigram, text, token = "ngrams", n = 2)
darwin_bigrams## # A tibble: 724,531 × 2
## book bigram
## <chr> <chr>
## 1 The Voyage of the Beagle the voyage
## 2 The Voyage of the Beagle voyage of
## 3 The Voyage of the Beagle of the
## 4 The Voyage of the Beagle the beagle
## 5 The Voyage of the Beagle beagle by
## 6 The Voyage of the Beagle charles darwin
## 7 The Voyage of the Beagle <NA>
## 8 The Voyage of the Beagle <NA>
## 9 The Voyage of the Beagle <NA>
## 10 The Voyage of the Beagle <NA>
## # ℹ 724,521 more rowsFiltering N gram
darwin_bigrams %>%
count(bigram, sort = TRUE)## # A tibble: 238,516 × 2
## bigram n
## <chr> <int>
## 1 of the 11297
## 2 <NA> 8947
## 3 in the 5257
## 4 on the 4093
## 5 to the 2849
## 6 the same 2048
## 7 that the 1947
## 8 it is 1830
## 9 of a 1610
## 10 and the 1590
## # ℹ 238,506 more rowsUsing tidyr seperate command to split columns into multiple columns
library(tidyr)
bigrams_separated <- darwin_bigrams %>%
separate(bigram, c("word1", "word2"), sep = " ")
bigrams_filtered <- bigrams_separated %>%
filter(!word1 %in% stop_words$word) %>%
filter(!word2 %in% stop_words$word)
bigrams_filtered## # A tibble: 94,896 × 3
## book word1 word2
## <chr> <chr> <chr>
## 1 The Voyage of the Beagle charles darwin
## 2 The Voyage of the Beagle <NA> <NA>
## 3 The Voyage of the Beagle <NA> <NA>
## 4 The Voyage of the Beagle <NA> <NA>
## 5 The Voyage of the Beagle <NA> <NA>
## 6 The Voyage of the Beagle <NA> <NA>
## 7 The Voyage of the Beagle online edition
## 8 The Voyage of the Beagle <NA> <NA>
## 9 The Voyage of the Beagle degree symbol
## 10 The Voyage of the Beagle degs italics
## # ℹ 94,886 more rowsnew bigram counts
bigram_counts <- bigrams_filtered %>%
unite(bigram, word1, word2, sep = " ")
bigram_counts## # A tibble: 94,896 × 2
## book bigram
## <chr> <chr>
## 1 The Voyage of the Beagle charles darwin
## 2 The Voyage of the Beagle NA NA
## 3 The Voyage of the Beagle NA NA
## 4 The Voyage of the Beagle NA NA
## 5 The Voyage of the Beagle NA NA
## 6 The Voyage of the Beagle NA NA
## 7 The Voyage of the Beagle online edition
## 8 The Voyage of the Beagle NA NA
## 9 The Voyage of the Beagle degree symbol
## 10 The Voyage of the Beagle degs italics
## # ℹ 94,886 more rowstrigrams(3 word combos)
trigrams <- darwin_books %>%
unnest_tokens(trigram, text, token = "ngrams", n = 3) %>%
separate(trigram, c("word1", "word2", "word3"), sep = " ") %>%
filter(!word1 %in% stop_words$word,
!word2 %in% stop_words$word,
!word3 %in% stop_words$word) %>%
count(word1, word2, word3, sort = TRUE)
trigrams## # A tibble: 19,971 × 4
## word1 word2 word3 n
## <chr> <chr> <chr> <int>
## 1 <NA> <NA> <NA> 9884
## 2 tierra del fuego 92
## 3 secondary sexual characters 91
## 4 captain fitz roy 45
## 5 closely allied species 30
## 6 de la physionomie 30
## 7 domestication vol ii 26
## 8 vol ii pp 22
## 9 vertebrates vol iii 21
## 10 proc zoolog soc 18
## # ℹ 19,961 more rowsAnalyzing bigrams
bigrams_filtered %>%
filter(word2 == "selection") %>%
count(book, word1, sort = TRUE)## # A tibble: 39 × 3
## book word1 n
## <chr> <chr> <int>
## 1 The Descent of Man, and Selection in Relation to Sex sexual 254
## 2 On the Origin of Species By Means of Natural Selection natural 250
## 3 The Descent of Man, and Selection in Relation to Sex natural 156
## 4 On the Origin of Species By Means of Natural Selection sexual 18
## 5 On the Origin of Species By Means of Natural Selection continued 6
## 6 The Descent of Man, and Selection in Relation to Sex unconscious 6
## 7 On the Origin of Species By Means of Natural Selection methodical 5
## 8 The Descent of Man, and Selection in Relation to Sex continued 5
## 9 On the Origin of Species By Means of Natural Selection unconscious 4
## 10 The Expression of the Emotions in Man and Animals natural 4
## # ℹ 29 more rowsmore analysis
bigram_tf_idf <- bigram_counts %>%
count(book, bigram) %>%
bind_tf_idf(bigram, book, n) %>%
arrange(desc(tf_idf))
bigram_tf_idf## # A tibble: 60,595 × 6
## book bigram n tf idf tf_idf
## <chr> <chr> <int> <dbl> <dbl> <dbl>
## 1 The Expression of the Emotions in Man and… nerve… 47 0.00350 1.39 0.00485
## 2 On the Origin of Species By Means of Natu… natur… 250 0.0160 0.288 0.00460
## 3 The Expression of the Emotions in Man and… la ph… 35 0.00260 1.39 0.00361
## 4 The Voyage of the Beagle bueno… 54 0.00245 1.39 0.00339
## 5 The Voyage of the Beagle capta… 53 0.00240 1.39 0.00333
## 6 On the Origin of Species By Means of Natu… glaci… 36 0.00230 1.39 0.00319
## 7 The Voyage of the Beagle fitz … 50 0.00227 1.39 0.00314
## 8 The Expression of the Emotions in Man and… muscl… 30 0.00223 1.39 0.00310
## 9 The Expression of the Emotions in Man and… orbic… 29 0.00216 1.39 0.00299
## 10 The Expression of the Emotions in Man and… dr du… 26 0.00194 1.39 0.00268
## # ℹ 60,585 more rowsbigram_tf_idf %>%
arrange(desc(tf_idf)) %>%
group_by(book) %>%
slice_max(tf_idf, n = 10) %>%
ungroup() %>%
dplyr::mutate(bigram = reorder(bigram, tf_idf)) %>%
ggplot(aes(tf_idf, bigram, fill = book)) +
geom_col(show.legend = FALSE) +
facet_wrap(~book, ncol = 2, scales = "free") +
labs(x = "tf-idf of bigrams", y = NULL)
bigrams in sentiment analysis
bigrams_separated %>%
filter(word1 == "not") %>%
count(word1, word2, sort = TRUE)## # A tibble: 867 × 3
## word1 word2 n
## <chr> <chr> <int>
## 1 not be 128
## 2 not have 104
## 3 not only 103
## 4 not a 100
## 5 not to 98
## 6 not been 89
## 7 not the 82
## 8 not at 70
## 9 not know 60
## 10 not so 58
## # ℹ 857 more rowsSeeing sentiment associated words
AFINN <- read.csv("afinn.csv")
AFINN## X word value
## 1 1 abandon -2
## 2 2 abandoned -2
## 3 3 abandons -2
## 4 4 abducted -2
## 5 5 abduction -2
## 6 6 abductions -2
## 7 7 abhor -3
## 8 8 abhorred -3
## 9 9 abhorrent -3
## 10 10 abhors -3
## 11 11 abilities 2
## 12 12 ability 2
## 13 13 aboard 1
## 14 14 absentee -1
## 15 15 absentees -1
## 16 16 absolve 2
## 17 17 absolved 2
## 18 18 absolves 2
## 19 19 absolving 2
## 20 20 absorbed 1
## 21 21 abuse -3
## 22 22 abused -3
## 23 23 abuses -3
## 24 24 abusive -3
## 25 25 accept 1
## 26 26 accepted 1
## 27 27 accepting 1
## 28 28 accepts 1
## 29 29 accident -2
## 30 30 accidental -2
## 31 31 accidentally -2
## 32 32 accidents -2
## 33 33 accomplish 2
## 34 34 accomplished 2
## 35 35 accomplishes 2
## 36 36 accusation -2
## 37 37 accusations -2
## 38 38 accuse -2
## 39 39 accused -2
## 40 40 accuses -2
## 41 41 accusing -2
## 42 42 ache -2
## 43 43 achievable 1
## 44 44 aching -2
## 45 45 acquit 2
## 46 46 acquits 2
## 47 47 acquitted 2
## 48 48 acquitting 2
## 49 49 acrimonious -3
## 50 50 active 1
## 51 51 adequate 1
## 52 52 admire 3
## 53 53 admired 3
## 54 54 admires 3
## 55 55 admiring 3
## 56 56 admit -1
## 57 57 admits -1
## 58 58 admitted -1
## 59 59 admonish -2
## 60 60 admonished -2
## 61 61 adopt 1
## 62 62 adopts 1
## 63 63 adorable 3
## 64 64 adore 3
## 65 65 adored 3
## 66 66 adores 3
## 67 67 advanced 1
## 68 68 advantage 2
## 69 69 advantages 2
## 70 70 adventure 2
## 71 71 adventures 2
## 72 72 adventurous 2
## 73 73 affected -1
## 74 74 affection 3
## 75 75 affectionate 3
## 76 76 afflicted -1
## 77 77 affronted -1
## 78 78 afraid -2
## 79 79 aggravate -2
## 80 80 aggravated -2
## 81 81 aggravates -2
## 82 82 aggravating -2
## 83 83 aggression -2
## 84 84 aggressions -2
## 85 85 aggressive -2
## 86 86 aghast -2
## 87 87 agog 2
## 88 88 agonise -3
## 89 89 agonised -3
## 90 90 agonises -3
## 91 91 agonising -3
## 92 92 agonize -3
## 93 93 agonized -3
## 94 94 agonizes -3
## 95 95 agonizing -3
## 96 96 agree 1
## 97 97 agreeable 2
## 98 98 agreed 1
## 99 99 agreement 1
## 100 100 agrees 1
## 101 101 alarm -2
## 102 102 alarmed -2
## 103 103 alarmist -2
## 104 104 alarmists -2
## 105 105 alas -1
## 106 106 alert -1
## 107 107 alienation -2
## 108 108 alive 1
## 109 109 allergic -2
## 110 110 allow 1
## 111 111 alone -2
## 112 112 amaze 2
## 113 113 amazed 2
## 114 114 amazes 2
## 115 115 amazing 4
## 116 116 ambitious 2
## 117 117 ambivalent -1
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## 1819 1819 racists -3
## 1820 1820 rage -2
## 1821 1821 rageful -2
## 1822 1822 rainy -1
## 1823 1823 rant -3
## 1824 1824 ranter -3
## 1825 1825 ranters -3
## 1826 1826 rants -3
## 1827 1827 rape -4
## 1828 1828 rapist -4
## 1829 1829 rapture 2
## 1830 1830 raptured 2
## 1831 1831 raptures 2
## 1832 1832 rapturous 4
## 1833 1833 rash -2
## 1834 1834 ratified 2
## 1835 1835 reach 1
## 1836 1836 reached 1
## 1837 1837 reaches 1
## 1838 1838 reaching 1
## 1839 1839 reassure 1
## 1840 1840 reassured 1
## 1841 1841 reassures 1
## 1842 1842 reassuring 2
## 1843 1843 rebellion -2
## 1844 1844 recession -2
## 1845 1845 reckless -2
## 1846 1846 recommend 2
## 1847 1847 recommended 2
## 1848 1848 recommends 2
## 1849 1849 redeemed 2
## 1850 1850 refuse -2
## 1851 1851 refused -2
## 1852 1852 refusing -2
## 1853 1853 regret -2
## 1854 1854 regretful -2
## 1855 1855 regrets -2
## 1856 1856 regretted -2
## 1857 1857 regretting -2
## 1858 1858 reject -1
## 1859 1859 rejected -1
## 1860 1860 rejecting -1
## 1861 1861 rejects -1
## 1862 1862 rejoice 4
## 1863 1863 rejoiced 4
## 1864 1864 rejoices 4
## 1865 1865 rejoicing 4
## 1866 1866 relaxed 2
## 1867 1867 relentless -1
## 1868 1868 reliant 2
## 1869 1869 relieve 1
## 1870 1870 relieved 2
## 1871 1871 relieves 1
## 1872 1872 relieving 2
## 1873 1873 relishing 2
## 1874 1874 remarkable 2
## 1875 1875 remorse -2
## 1876 1876 repulse -1
## 1877 1877 repulsed -2
## 1878 1878 rescue 2
## 1879 1879 rescued 2
## 1880 1880 rescues 2
## 1881 1881 resentful -2
## 1882 1882 resign -1
## 1883 1883 resigned -1
## 1884 1884 resigning -1
## 1885 1885 resigns -1
## 1886 1886 resolute 2
## 1887 1887 resolve 2
## 1888 1888 resolved 2
## 1889 1889 resolves 2
## 1890 1890 resolving 2
## 1891 1891 respected 2
## 1892 1892 responsible 2
## 1893 1893 responsive 2
## 1894 1894 restful 2
## 1895 1895 restless -2
## 1896 1896 restore 1
## 1897 1897 restored 1
## 1898 1898 restores 1
## 1899 1899 restoring 1
## 1900 1900 restrict -2
## 1901 1901 restricted -2
## 1902 1902 restricting -2
## 1903 1903 restriction -2
## 1904 1904 restricts -2
## 1905 1905 retained -1
## 1906 1906 retard -2
## 1907 1907 retarded -2
## 1908 1908 retreat -1
## 1909 1909 revenge -2
## 1910 1910 revengeful -2
## 1911 1911 revered 2
## 1912 1912 revive 2
## 1913 1913 revives 2
## 1914 1914 reward 2
## 1915 1915 rewarded 2
## 1916 1916 rewarding 2
## 1917 1917 rewards 2
## 1918 1918 rich 2
## 1919 1919 ridiculous -3
## 1920 1920 rig -1
## 1921 1921 rigged -1
## 1922 1922 right direction 3
## 1923 1923 rigorous 3
## 1924 1924 rigorously 3
## 1925 1925 riot -2
## 1926 1926 riots -2
## 1927 1927 risk -2
## 1928 1928 risks -2
## 1929 1929 rob -2
## 1930 1930 robber -2
## 1931 1931 robed -2
## 1932 1932 robing -2
## 1933 1933 robs -2
## 1934 1934 robust 2
## 1935 1935 rofl 4
## 1936 1936 roflcopter 4
## 1937 1937 roflmao 4
## 1938 1938 romance 2
## 1939 1939 rotfl 4
## 1940 1940 rotflmfao 4
## 1941 1941 rotflol 4
## 1942 1942 ruin -2
## 1943 1943 ruined -2
## 1944 1944 ruining -2
## 1945 1945 ruins -2
## 1946 1946 sabotage -2
## 1947 1947 sad -2
## 1948 1948 sadden -2
## 1949 1949 saddened -2
## 1950 1950 sadly -2
## 1951 1951 safe 1
## 1952 1952 safely 1
## 1953 1953 safety 1
## 1954 1954 salient 1
## 1955 1955 sappy -1
## 1956 1956 sarcastic -2
## 1957 1957 satisfied 2
## 1958 1958 save 2
## 1959 1959 saved 2
## 1960 1960 scam -2
## 1961 1961 scams -2
## 1962 1962 scandal -3
## 1963 1963 scandalous -3
## 1964 1964 scandals -3
## 1965 1965 scapegoat -2
## 1966 1966 scapegoats -2
## 1967 1967 scare -2
## 1968 1968 scared -2
## 1969 1969 scary -2
## 1970 1970 sceptical -2
## 1971 1971 scold -2
## 1972 1972 scoop 3
## 1973 1973 scorn -2
## 1974 1974 scornful -2
## 1975 1975 scream -2
## 1976 1976 screamed -2
## 1977 1977 screaming -2
## 1978 1978 screams -2
## 1979 1979 screwed -2
## 1980 1980 screwed up -3
## 1981 1981 scumbag -4
## 1982 1982 secure 2
## 1983 1983 secured 2
## 1984 1984 secures 2
## 1985 1985 sedition -2
## 1986 1986 seditious -2
## 1987 1987 seduced -1
## 1988 1988 self-confident 2
## 1989 1989 self-deluded -2
## 1990 1990 selfish -3
## 1991 1991 selfishness -3
## 1992 1992 sentence -2
## 1993 1993 sentenced -2
## 1994 1994 sentences -2
## 1995 1995 sentencing -2
## 1996 1996 serene 2
## 1997 1997 severe -2
## 1998 1998 sexy 3
## 1999 1999 shaky -2
## 2000 2000 shame -2
## 2001 2001 shamed -2
## 2002 2002 shameful -2
## 2003 2003 share 1
## 2004 2004 shared 1
## 2005 2005 shares 1
## 2006 2006 shattered -2
## 2007 2007 shit -4
## 2008 2008 shithead -4
## 2009 2009 shitty -3
## 2010 2010 shock -2
## 2011 2011 shocked -2
## 2012 2012 shocking -2
## 2013 2013 shocks -2
## 2014 2014 shoot -1
## 2015 2015 short-sighted -2
## 2016 2016 short-sightedness -2
## 2017 2017 shortage -2
## 2018 2018 shortages -2
## 2019 2019 shrew -4
## 2020 2020 shy -1
## 2021 2021 sick -2
## 2022 2022 sigh -2
## 2023 2023 significance 1
## 2024 2024 significant 1
## 2025 2025 silencing -1
## 2026 2026 silly -1
## 2027 2027 sincere 2
## 2028 2028 sincerely 2
## 2029 2029 sincerest 2
## 2030 2030 sincerity 2
## 2031 2031 sinful -3
## 2032 2032 singleminded -2
## 2033 2033 skeptic -2
## 2034 2034 skeptical -2
## 2035 2035 skepticism -2
## 2036 2036 skeptics -2
## 2037 2037 slam -2
## 2038 2038 slash -2
## 2039 2039 slashed -2
## 2040 2040 slashes -2
## 2041 2041 slashing -2
## 2042 2042 slavery -3
## 2043 2043 sleeplessness -2
## 2044 2044 slick 2
## 2045 2045 slicker 2
## 2046 2046 slickest 2
## 2047 2047 sluggish -2
## 2048 2048 slut -5
## 2049 2049 smart 1
## 2050 2050 smarter 2
## 2051 2051 smartest 2
## 2052 2052 smear -2
## 2053 2053 smile 2
## 2054 2054 smiled 2
## 2055 2055 smiles 2
## 2056 2056 smiling 2
## 2057 2057 smog -2
## 2058 2058 sneaky -1
## 2059 2059 snub -2
## 2060 2060 snubbed -2
## 2061 2061 snubbing -2
## 2062 2062 snubs -2
## 2063 2063 sobering 1
## 2064 2064 solemn -1
## 2065 2065 solid 2
## 2066 2066 solidarity 2
## 2067 2067 solution 1
## 2068 2068 solutions 1
## 2069 2069 solve 1
## 2070 2070 solved 1
## 2071 2071 solves 1
## 2072 2072 solving 1
## 2073 2073 somber -2
## 2074 2074 some kind 0
## 2075 2075 son-of-a-bitch -5
## 2076 2076 soothe 3
## 2077 2077 soothed 3
## 2078 2078 soothing 3
## 2079 2079 sophisticated 2
## 2080 2080 sore -1
## 2081 2081 sorrow -2
## 2082 2082 sorrowful -2
## 2083 2083 sorry -1
## 2084 2084 spam -2
## 2085 2085 spammer -3
## 2086 2086 spammers -3
## 2087 2087 spamming -2
## 2088 2088 spark 1
## 2089 2089 sparkle 3
## 2090 2090 sparkles 3
## 2091 2091 sparkling 3
## 2092 2092 speculative -2
## 2093 2093 spirit 1
## 2094 2094 spirited 2
## 2095 2095 spiritless -2
## 2096 2096 spiteful -2
## 2097 2097 splendid 3
## 2098 2098 sprightly 2
## 2099 2099 squelched -1
## 2100 2100 stab -2
## 2101 2101 stabbed -2
## 2102 2102 stable 2
## 2103 2103 stabs -2
## 2104 2104 stall -2
## 2105 2105 stalled -2
## 2106 2106 stalling -2
## 2107 2107 stamina 2
## 2108 2108 stampede -2
## 2109 2109 startled -2
## 2110 2110 starve -2
## 2111 2111 starved -2
## 2112 2112 starves -2
## 2113 2113 starving -2
## 2114 2114 steadfast 2
## 2115 2115 steal -2
## 2116 2116 steals -2
## 2117 2117 stereotype -2
## 2118 2118 stereotyped -2
## 2119 2119 stifled -1
## 2120 2120 stimulate 1
## 2121 2121 stimulated 1
## 2122 2122 stimulates 1
## 2123 2123 stimulating 2
## 2124 2124 stingy -2
## 2125 2125 stolen -2
## 2126 2126 stop -1
## 2127 2127 stopped -1
## 2128 2128 stopping -1
## 2129 2129 stops -1
## 2130 2130 stout 2
## 2131 2131 straight 1
## 2132 2132 strange -1
## 2133 2133 strangely -1
## 2134 2134 strangled -2
## 2135 2135 strength 2
## 2136 2136 strengthen 2
## 2137 2137 strengthened 2
## 2138 2138 strengthening 2
## 2139 2139 strengthens 2
## 2140 2140 stressed -2
## 2141 2141 stressor -2
## 2142 2142 stressors -2
## 2143 2143 stricken -2
## 2144 2144 strike -1
## 2145 2145 strikers -2
## 2146 2146 strikes -1
## 2147 2147 strong 2
## 2148 2148 stronger 2
## 2149 2149 strongest 2
## 2150 2150 struck -1
## 2151 2151 struggle -2
## 2152 2152 struggled -2
## 2153 2153 struggles -2
## 2154 2154 struggling -2
## 2155 2155 stubborn -2
## 2156 2156 stuck -2
## 2157 2157 stunned -2
## 2158 2158 stunning 4
## 2159 2159 stupid -2
## 2160 2160 stupidly -2
## 2161 2161 suave 2
## 2162 2162 substantial 1
## 2163 2163 substantially 1
## 2164 2164 subversive -2
## 2165 2165 success 2
## 2166 2166 successful 3
## 2167 2167 suck -3
## 2168 2168 sucks -3
## 2169 2169 suffer -2
## 2170 2170 suffering -2
## 2171 2171 suffers -2
## 2172 2172 suicidal -2
## 2173 2173 suicide -2
## 2174 2174 suing -2
## 2175 2175 sulking -2
## 2176 2176 sulky -2
## 2177 2177 sullen -2
## 2178 2178 sunshine 2
## 2179 2179 super 3
## 2180 2180 superb 5
## 2181 2181 superior 2
## 2182 2182 support 2
## 2183 2183 supported 2
## 2184 2184 supporter 1
## 2185 2185 supporters 1
## 2186 2186 supporting 1
## 2187 2187 supportive 2
## 2188 2188 supports 2
## 2189 2189 survived 2
## 2190 2190 surviving 2
## 2191 2191 survivor 2
## 2192 2192 suspect -1
## 2193 2193 suspected -1
## 2194 2194 suspecting -1
## 2195 2195 suspects -1
## 2196 2196 suspend -1
## 2197 2197 suspended -1
## 2198 2198 suspicious -2
## 2199 2199 swear -2
## 2200 2200 swearing -2
## 2201 2201 swears -2
## 2202 2202 sweet 2
## 2203 2203 swift 2
## 2204 2204 swiftly 2
## 2205 2205 swindle -3
## 2206 2206 swindles -3
## 2207 2207 swindling -3
## 2208 2208 sympathetic 2
## 2209 2209 sympathy 2
## 2210 2210 tard -2
## 2211 2211 tears -2
## 2212 2212 tender 2
## 2213 2213 tense -2
## 2214 2214 tension -1
## 2215 2215 terrible -3
## 2216 2216 terribly -3
## 2217 2217 terrific 4
## 2218 2218 terrified -3
## 2219 2219 terror -3
## 2220 2220 terrorize -3
## 2221 2221 terrorized -3
## 2222 2222 terrorizes -3
## 2223 2223 thank 2
## 2224 2224 thankful 2
## 2225 2225 thanks 2
## 2226 2226 thorny -2
## 2227 2227 thoughtful 2
## 2228 2228 thoughtless -2
## 2229 2229 threat -2
## 2230 2230 threaten -2
## 2231 2231 threatened -2
## 2232 2232 threatening -2
## 2233 2233 threatens -2
## 2234 2234 threats -2
## 2235 2235 thrilled 5
## 2236 2236 thwart -2
## 2237 2237 thwarted -2
## 2238 2238 thwarting -2
## 2239 2239 thwarts -2
## 2240 2240 timid -2
## 2241 2241 timorous -2
## 2242 2242 tired -2
## 2243 2243 tits -2
## 2244 2244 tolerant 2
## 2245 2245 toothless -2
## 2246 2246 top 2
## 2247 2247 tops 2
## 2248 2248 torn -2
## 2249 2249 torture -4
## 2250 2250 tortured -4
## 2251 2251 tortures -4
## 2252 2252 torturing -4
## 2253 2253 totalitarian -2
## 2254 2254 totalitarianism -2
## 2255 2255 tout -2
## 2256 2256 touted -2
## 2257 2257 touting -2
## 2258 2258 touts -2
## 2259 2259 tragedy -2
## 2260 2260 tragic -2
## 2261 2261 tranquil 2
## 2262 2262 trap -1
## 2263 2263 trapped -2
## 2264 2264 trauma -3
## 2265 2265 traumatic -3
## 2266 2266 travesty -2
## 2267 2267 treason -3
## 2268 2268 treasonous -3
## 2269 2269 treasure 2
## 2270 2270 treasures 2
## 2271 2271 trembling -2
## 2272 2272 tremulous -2
## 2273 2273 tricked -2
## 2274 2274 trickery -2
## 2275 2275 triumph 4
## 2276 2276 triumphant 4
## 2277 2277 trouble -2
## 2278 2278 troubled -2
## 2279 2279 troubles -2
## 2280 2280 true 2
## 2281 2281 trust 1
## 2282 2282 trusted 2
## 2283 2283 tumor -2
## 2284 2284 twat -5
## 2285 2285 ugly -3
## 2286 2286 unacceptable -2
## 2287 2287 unappreciated -2
## 2288 2288 unapproved -2
## 2289 2289 unaware -2
## 2290 2290 unbelievable -1
## 2291 2291 unbelieving -1
## 2292 2292 unbiased 2
## 2293 2293 uncertain -1
## 2294 2294 unclear -1
## 2295 2295 uncomfortable -2
## 2296 2296 unconcerned -2
## 2297 2297 unconfirmed -1
## 2298 2298 unconvinced -1
## 2299 2299 uncredited -1
## 2300 2300 undecided -1
## 2301 2301 underestimate -1
## 2302 2302 underestimated -1
## 2303 2303 underestimates -1
## 2304 2304 underestimating -1
## 2305 2305 undermine -2
## 2306 2306 undermined -2
## 2307 2307 undermines -2
## 2308 2308 undermining -2
## 2309 2309 undeserving -2
## 2310 2310 undesirable -2
## 2311 2311 uneasy -2
## 2312 2312 unemployment -2
## 2313 2313 unequal -1
## 2314 2314 unequaled 2
## 2315 2315 unethical -2
## 2316 2316 unfair -2
## 2317 2317 unfocused -2
## 2318 2318 unfulfilled -2
## 2319 2319 unhappy -2
## 2320 2320 unhealthy -2
## 2321 2321 unified 1
## 2322 2322 unimpressed -2
## 2323 2323 unintelligent -2
## 2324 2324 united 1
## 2325 2325 unjust -2
## 2326 2326 unlovable -2
## 2327 2327 unloved -2
## 2328 2328 unmatched 1
## 2329 2329 unmotivated -2
## 2330 2330 unprofessional -2
## 2331 2331 unresearched -2
## 2332 2332 unsatisfied -2
## 2333 2333 unsecured -2
## 2334 2334 unsettled -1
## 2335 2335 unsophisticated -2
## 2336 2336 unstable -2
## 2337 2337 unstoppable 2
## 2338 2338 unsupported -2
## 2339 2339 unsure -1
## 2340 2340 untarnished 2
## 2341 2341 unwanted -2
## 2342 2342 unworthy -2
## 2343 2343 upset -2
## 2344 2344 upsets -2
## 2345 2345 upsetting -2
## 2346 2346 uptight -2
## 2347 2347 urgent -1
## 2348 2348 useful 2
## 2349 2349 usefulness 2
## 2350 2350 useless -2
## 2351 2351 uselessness -2
## 2352 2352 vague -2
## 2353 2353 validate 1
## 2354 2354 validated 1
## 2355 2355 validates 1
## 2356 2356 validating 1
## 2357 2357 verdict -1
## 2358 2358 verdicts -1
## 2359 2359 vested 1
## 2360 2360 vexation -2
## 2361 2361 vexing -2
## 2362 2362 vibrant 3
## 2363 2363 vicious -2
## 2364 2364 victim -3
## 2365 2365 victimize -3
## 2366 2366 victimized -3
## 2367 2367 victimizes -3
## 2368 2368 victimizing -3
## 2369 2369 victims -3
## 2370 2370 vigilant 3
## 2371 2371 vile -3
## 2372 2372 vindicate 2
## 2373 2373 vindicated 2
## 2374 2374 vindicates 2
## 2375 2375 vindicating 2
## 2376 2376 violate -2
## 2377 2377 violated -2
## 2378 2378 violates -2
## 2379 2379 violating -2
## 2380 2380 violence -3
## 2381 2381 violent -3
## 2382 2382 virtuous 2
## 2383 2383 virulent -2
## 2384 2384 vision 1
## 2385 2385 visionary 3
## 2386 2386 visioning 1
## 2387 2387 visions 1
## 2388 2388 vitality 3
## 2389 2389 vitamin 1
## 2390 2390 vitriolic -3
## 2391 2391 vivacious 3
## 2392 2392 vociferous -1
## 2393 2393 vulnerability -2
## 2394 2394 vulnerable -2
## 2395 2395 walkout -2
## 2396 2396 walkouts -2
## 2397 2397 wanker -3
## 2398 2398 want 1
## 2399 2399 war -2
## 2400 2400 warfare -2
## 2401 2401 warm 1
## 2402 2402 warmth 2
## 2403 2403 warn -2
## 2404 2404 warned -2
## 2405 2405 warning -3
## 2406 2406 warnings -3
## 2407 2407 warns -2
## 2408 2408 waste -1
## 2409 2409 wasted -2
## 2410 2410 wasting -2
## 2411 2411 wavering -1
## 2412 2412 weak -2
## 2413 2413 weakness -2
## 2414 2414 wealth 3
## 2415 2415 wealthy 2
## 2416 2416 weary -2
## 2417 2417 weep -2
## 2418 2418 weeping -2
## 2419 2419 weird -2
## 2420 2420 welcome 2
## 2421 2421 welcomed 2
## 2422 2422 welcomes 2
## 2423 2423 whimsical 1
## 2424 2424 whitewash -3
## 2425 2425 whore -4
## 2426 2426 wicked -2
## 2427 2427 widowed -1
## 2428 2428 willingness 2
## 2429 2429 win 4
## 2430 2430 winner 4
## 2431 2431 winning 4
## 2432 2432 wins 4
## 2433 2433 winwin 3
## 2434 2434 wish 1
## 2435 2435 wishes 1
## 2436 2436 wishing 1
## 2437 2437 withdrawal -3
## 2438 2438 woebegone -2
## 2439 2439 woeful -3
## 2440 2440 won 3
## 2441 2441 wonderful 4
## 2442 2442 woo 3
## 2443 2443 woohoo 3
## 2444 2444 wooo 4
## 2445 2445 woow 4
## 2446 2446 worn -1
## 2447 2447 worried -3
## 2448 2448 worry -3
## 2449 2449 worrying -3
## 2450 2450 worse -3
## 2451 2451 worsen -3
## 2452 2452 worsened -3
## 2453 2453 worsening -3
## 2454 2454 worsens -3
## 2455 2455 worshiped 3
## 2456 2456 worst -3
## 2457 2457 worth 2
## 2458 2458 worthless -2
## 2459 2459 worthy 2
## 2460 2460 wow 4
## 2461 2461 wowow 4
## 2462 2462 wowww 4
## 2463 2463 wrathful -3
## 2464 2464 wreck -2
## 2465 2465 wrong -2
## 2466 2466 wronged -2
## 2467 2467 wtf -4
## 2468 2468 yeah 1
## 2469 2469 yearning 1
## 2470 2470 yeees 2
## 2471 2471 yes 1
## 2472 2472 youthful 2
## 2473 2473 yucky -2
## 2474 2474 yummy 3
## 2475 2475 zealot -2
## 2476 2476 zealots -2
## 2477 2477 zealous 2words preceded by “not”
not_words <- bigrams_separated %>%
filter(word1 == "not") %>%
inner_join(AFINN, by = c(word2 = "word")) %>%
count(word2, value, sort = TRUE)
not_words## # A tibble: 114 × 3
## word2 value n
## <chr> <int> <int>
## 1 doubt -1 25
## 2 like 2 11
## 3 pretend -1 9
## 4 wish 1 8
## 5 admit -1 7
## 6 difficult -1 5
## 7 easy 1 5
## 8 reach 1 5
## 9 extend 1 4
## 10 forget -1 4
## # ℹ 104 more rowsVisualizing
library(ggplot2)
not_words %>%
dplyr::mutate(contribution = n * value) %>%
arrange(desc(abs(contribution))) %>%
head(20) %>%
dplyr::mutate(word2 = reorder(word2, contribution)) %>%
ggplot(aes(n * value, word2, fill = n * value > 0)) +
geom_col(show.legend = FALSE) +
labs(x = "Sentiment value * number of occurences", y = "words preceded by \"not\"")
`
negation_words <- c("not", "no", "never", "non", "without")
negated_words <- bigrams_separated %>%
filter(word1 %in% negation_words) %>%
inner_join(AFINN, by = c(word2 = "word")) %>%
count(word1, word2, value, sort = TRUE)
negated_words## # A tibble: 208 × 4
## word1 word2 value n
## <chr> <chr> <int> <int>
## 1 no doubt -1 210
## 2 not doubt -1 25
## 3 no great 3 19
## 4 not like 2 11
## 5 not pretend -1 9
## 6 not wish 1 8
## 7 without doubt -1 8
## 8 not admit -1 7
## 9 no greater 3 6
## 10 not difficult -1 5
## # ℹ 198 more rowsMore visualizing
negated_words %>%
dplyr::mutate(contribution = n * value,
word2 = reorder(paste(word2, word1, sep = "_"), contribution)) %>%
group_by(word1) %>%
slice_max(abs(contribution), n = 12, with_ties = FALSE) %>%
ggplot(aes(word2, contribution, fill = n * value > 0)) +
geom_col(show.legend = FALSE) +
facet_wrap(~ word1, scales = "free") +
scale_x_discrete(labels = function(x) gsub("_.+$", "", x)) +
xlab("words preceded by negation term") +
ylab("Sentiment value * # of occurences") +
coord_flip()
visualizing bigrams with ggraph
library(igraph)##
## Attaching package: 'igraph'## The following object is masked from 'package:mosaic':
##
## compare## The following objects are masked from 'package:lubridate':
##
## %--%, union## The following object is masked from 'package:plotly':
##
## groups## The following object is masked from 'package:tidyr':
##
## crossing## The following objects are masked from 'package:dplyr':
##
## as_data_frame, groups, union## The following objects are masked from 'package:stats':
##
## decompose, spectrum## The following object is masked from 'package:base':
##
## unionbigram_counts <- bigrams_filtered %>%
count(word1, word2, sort = TRUE)
bigram_graph <- bigram_counts %>%
filter(n > 20) %>%
graph_from_data_frame()## Warning in graph_from_data_frame(.): In `d' `NA' elements were replaced with
## string "NA"bigram_graph## IGRAPH e3490d5 DN-- 203 140 --
## + attr: name (v/c), n (e/n)
## + edges from e3490d5 (vertex names):
## [1] NA ->NA natural ->selection sexual ->selection
## [4] vol ->ii lower ->animals sexual ->differences
## [7] south ->america distinct ->species secondary ->sexual
## [10] breeding ->season closely ->allied sexual ->characters
## [13] tierra ->del del ->fuego vol ->iii
## [16] de ->la natural ->history fresh ->water
## [19] north ->america bright ->colours sexual ->difference
## [22] allied ->species tail ->feathers strongly ->marked
## + ... omitted several edgeslibrary(ggraph)
set.seed(1234)
ggraph(bigram_graph, layout = "fr") +
geom_edge_link() +
geom_node_point() +
geom_node_text(aes(label = name), vjust = 1, hjust = 1)## Warning: Using the `size` aesthetic in this geom was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` in the `default_aes` field and elsewhere instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Adding directionality
set.seed(1234)
a <- grid::arrow(type = "closed", length = unit(0.15, "inches"))
ggraph(bigram_graph, layout = "fr") +
geom_edge_link(aes(edsge_alpha = n), show.legend = FALSE, arrow = a, end_cap = circle(0.7, 'inches')) +
geom_node_point(color = "lightblue", size = 5) +
geom_node_text(aes(label = name), vjust = 1, hjust = 1) +
theme_void()## Warning in geom_edge_link(aes(edsge_alpha = n), show.legend = FALSE, arrow = a,
## : Ignoring unknown aesthetics: edsge_alpha
Sentiment analysis datasets
affin = score between -5 and 5
bing = words in binary fashion
nrc = (pos or neg or anger, etc)
Looking at afinn
BiocManager::install("textdata", update = FALSE)## 'getOption("repos")' replaces Bioconductor standard repositories, see
## 'help("repositories", package = "BiocManager")' for details.
## Replacement repositories:
## CRAN: https://cloud.r-project.org## Bioconductor version 3.18 (BiocManager 1.30.22), R 4.3.2 (2023-10-31)## Warning: package(s) not installed when version(s) same as or greater than current; use
## `force = TRUE` to re-install: 'textdata'library(tidytext)
library(textdata)
afinn <- read.csv("afinn.csv")
afinn## X word value
## 1 1 abandon -2
## 2 2 abandoned -2
## 3 3 abandons -2
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## 1727 1727 poisons -2
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## 1736 1736 popular 3
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## 1745 1745 powerful 2
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## 1747 1747 praise 3
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## 1753 1753 prays 1
## 1754 1754 prblm -2
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## 1759 1759 pretend -1
## 1760 1760 pretending -1
## 1761 1761 pretends -1
## 1762 1762 pretty 1
## 1763 1763 prevent -1
## 1764 1764 prevented -1
## 1765 1765 preventing -1
## 1766 1766 prevents -1
## 1767 1767 prick -5
## 1768 1768 prison -2
## 1769 1769 prisoner -2
## 1770 1770 prisoners -2
## 1771 1771 privileged 2
## 1772 1772 proactive 2
## 1773 1773 problem -2
## 1774 1774 problems -2
## 1775 1775 profiteer -2
## 1776 1776 progress 2
## 1777 1777 prominent 2
## 1778 1778 promise 1
## 1779 1779 promised 1
## 1780 1780 promises 1
## 1781 1781 promote 1
## 1782 1782 promoted 1
## 1783 1783 promotes 1
## 1784 1784 promoting 1
## 1785 1785 propaganda -2
## 1786 1786 prosecute -1
## 1787 1787 prosecuted -2
## 1788 1788 prosecutes -1
## 1789 1789 prosecution -1
## 1790 1790 prospect 1
## 1791 1791 prospects 1
## 1792 1792 prosperous 3
## 1793 1793 protect 1
## 1794 1794 protected 1
## 1795 1795 protects 1
## 1796 1796 protest -2
## 1797 1797 protesters -2
## 1798 1798 protesting -2
## 1799 1799 protests -2
## 1800 1800 proud 2
## 1801 1801 proudly 2
## 1802 1802 provoke -1
## 1803 1803 provoked -1
## 1804 1804 provokes -1
## 1805 1805 provoking -1
## 1806 1806 pseudoscience -3
## 1807 1807 punish -2
## 1808 1808 punished -2
## 1809 1809 punishes -2
## 1810 1810 punitive -2
## 1811 1811 pushy -1
## 1812 1812 puzzled -2
## 1813 1813 quaking -2
## 1814 1814 questionable -2
## 1815 1815 questioned -1
## 1816 1816 questioning -1
## 1817 1817 racism -3
## 1818 1818 racist -3
## 1819 1819 racists -3
## 1820 1820 rage -2
## 1821 1821 rageful -2
## 1822 1822 rainy -1
## 1823 1823 rant -3
## 1824 1824 ranter -3
## 1825 1825 ranters -3
## 1826 1826 rants -3
## 1827 1827 rape -4
## 1828 1828 rapist -4
## 1829 1829 rapture 2
## 1830 1830 raptured 2
## 1831 1831 raptures 2
## 1832 1832 rapturous 4
## 1833 1833 rash -2
## 1834 1834 ratified 2
## 1835 1835 reach 1
## 1836 1836 reached 1
## 1837 1837 reaches 1
## 1838 1838 reaching 1
## 1839 1839 reassure 1
## 1840 1840 reassured 1
## 1841 1841 reassures 1
## 1842 1842 reassuring 2
## 1843 1843 rebellion -2
## 1844 1844 recession -2
## 1845 1845 reckless -2
## 1846 1846 recommend 2
## 1847 1847 recommended 2
## 1848 1848 recommends 2
## 1849 1849 redeemed 2
## 1850 1850 refuse -2
## 1851 1851 refused -2
## 1852 1852 refusing -2
## 1853 1853 regret -2
## 1854 1854 regretful -2
## 1855 1855 regrets -2
## 1856 1856 regretted -2
## 1857 1857 regretting -2
## 1858 1858 reject -1
## 1859 1859 rejected -1
## 1860 1860 rejecting -1
## 1861 1861 rejects -1
## 1862 1862 rejoice 4
## 1863 1863 rejoiced 4
## 1864 1864 rejoices 4
## 1865 1865 rejoicing 4
## 1866 1866 relaxed 2
## 1867 1867 relentless -1
## 1868 1868 reliant 2
## 1869 1869 relieve 1
## 1870 1870 relieved 2
## 1871 1871 relieves 1
## 1872 1872 relieving 2
## 1873 1873 relishing 2
## 1874 1874 remarkable 2
## 1875 1875 remorse -2
## 1876 1876 repulse -1
## 1877 1877 repulsed -2
## 1878 1878 rescue 2
## 1879 1879 rescued 2
## 1880 1880 rescues 2
## 1881 1881 resentful -2
## 1882 1882 resign -1
## 1883 1883 resigned -1
## 1884 1884 resigning -1
## 1885 1885 resigns -1
## 1886 1886 resolute 2
## 1887 1887 resolve 2
## 1888 1888 resolved 2
## 1889 1889 resolves 2
## 1890 1890 resolving 2
## 1891 1891 respected 2
## 1892 1892 responsible 2
## 1893 1893 responsive 2
## 1894 1894 restful 2
## 1895 1895 restless -2
## 1896 1896 restore 1
## 1897 1897 restored 1
## 1898 1898 restores 1
## 1899 1899 restoring 1
## 1900 1900 restrict -2
## 1901 1901 restricted -2
## 1902 1902 restricting -2
## 1903 1903 restriction -2
## 1904 1904 restricts -2
## 1905 1905 retained -1
## 1906 1906 retard -2
## 1907 1907 retarded -2
## 1908 1908 retreat -1
## 1909 1909 revenge -2
## 1910 1910 revengeful -2
## 1911 1911 revered 2
## 1912 1912 revive 2
## 1913 1913 revives 2
## 1914 1914 reward 2
## 1915 1915 rewarded 2
## 1916 1916 rewarding 2
## 1917 1917 rewards 2
## 1918 1918 rich 2
## 1919 1919 ridiculous -3
## 1920 1920 rig -1
## 1921 1921 rigged -1
## 1922 1922 right direction 3
## 1923 1923 rigorous 3
## 1924 1924 rigorously 3
## 1925 1925 riot -2
## 1926 1926 riots -2
## 1927 1927 risk -2
## 1928 1928 risks -2
## 1929 1929 rob -2
## 1930 1930 robber -2
## 1931 1931 robed -2
## 1932 1932 robing -2
## 1933 1933 robs -2
## 1934 1934 robust 2
## 1935 1935 rofl 4
## 1936 1936 roflcopter 4
## 1937 1937 roflmao 4
## 1938 1938 romance 2
## 1939 1939 rotfl 4
## 1940 1940 rotflmfao 4
## 1941 1941 rotflol 4
## 1942 1942 ruin -2
## 1943 1943 ruined -2
## 1944 1944 ruining -2
## 1945 1945 ruins -2
## 1946 1946 sabotage -2
## 1947 1947 sad -2
## 1948 1948 sadden -2
## 1949 1949 saddened -2
## 1950 1950 sadly -2
## 1951 1951 safe 1
## 1952 1952 safely 1
## 1953 1953 safety 1
## 1954 1954 salient 1
## 1955 1955 sappy -1
## 1956 1956 sarcastic -2
## 1957 1957 satisfied 2
## 1958 1958 save 2
## 1959 1959 saved 2
## 1960 1960 scam -2
## 1961 1961 scams -2
## 1962 1962 scandal -3
## 1963 1963 scandalous -3
## 1964 1964 scandals -3
## 1965 1965 scapegoat -2
## 1966 1966 scapegoats -2
## 1967 1967 scare -2
## 1968 1968 scared -2
## 1969 1969 scary -2
## 1970 1970 sceptical -2
## 1971 1971 scold -2
## 1972 1972 scoop 3
## 1973 1973 scorn -2
## 1974 1974 scornful -2
## 1975 1975 scream -2
## 1976 1976 screamed -2
## 1977 1977 screaming -2
## 1978 1978 screams -2
## 1979 1979 screwed -2
## 1980 1980 screwed up -3
## 1981 1981 scumbag -4
## 1982 1982 secure 2
## 1983 1983 secured 2
## 1984 1984 secures 2
## 1985 1985 sedition -2
## 1986 1986 seditious -2
## 1987 1987 seduced -1
## 1988 1988 self-confident 2
## 1989 1989 self-deluded -2
## 1990 1990 selfish -3
## 1991 1991 selfishness -3
## 1992 1992 sentence -2
## 1993 1993 sentenced -2
## 1994 1994 sentences -2
## 1995 1995 sentencing -2
## 1996 1996 serene 2
## 1997 1997 severe -2
## 1998 1998 sexy 3
## 1999 1999 shaky -2
## 2000 2000 shame -2
## 2001 2001 shamed -2
## 2002 2002 shameful -2
## 2003 2003 share 1
## 2004 2004 shared 1
## 2005 2005 shares 1
## 2006 2006 shattered -2
## 2007 2007 shit -4
## 2008 2008 shithead -4
## 2009 2009 shitty -3
## 2010 2010 shock -2
## 2011 2011 shocked -2
## 2012 2012 shocking -2
## 2013 2013 shocks -2
## 2014 2014 shoot -1
## 2015 2015 short-sighted -2
## 2016 2016 short-sightedness -2
## 2017 2017 shortage -2
## 2018 2018 shortages -2
## 2019 2019 shrew -4
## 2020 2020 shy -1
## 2021 2021 sick -2
## 2022 2022 sigh -2
## 2023 2023 significance 1
## 2024 2024 significant 1
## 2025 2025 silencing -1
## 2026 2026 silly -1
## 2027 2027 sincere 2
## 2028 2028 sincerely 2
## 2029 2029 sincerest 2
## 2030 2030 sincerity 2
## 2031 2031 sinful -3
## 2032 2032 singleminded -2
## 2033 2033 skeptic -2
## 2034 2034 skeptical -2
## 2035 2035 skepticism -2
## 2036 2036 skeptics -2
## 2037 2037 slam -2
## 2038 2038 slash -2
## 2039 2039 slashed -2
## 2040 2040 slashes -2
## 2041 2041 slashing -2
## 2042 2042 slavery -3
## 2043 2043 sleeplessness -2
## 2044 2044 slick 2
## 2045 2045 slicker 2
## 2046 2046 slickest 2
## 2047 2047 sluggish -2
## 2048 2048 slut -5
## 2049 2049 smart 1
## 2050 2050 smarter 2
## 2051 2051 smartest 2
## 2052 2052 smear -2
## 2053 2053 smile 2
## 2054 2054 smiled 2
## 2055 2055 smiles 2
## 2056 2056 smiling 2
## 2057 2057 smog -2
## 2058 2058 sneaky -1
## 2059 2059 snub -2
## 2060 2060 snubbed -2
## 2061 2061 snubbing -2
## 2062 2062 snubs -2
## 2063 2063 sobering 1
## 2064 2064 solemn -1
## 2065 2065 solid 2
## 2066 2066 solidarity 2
## 2067 2067 solution 1
## 2068 2068 solutions 1
## 2069 2069 solve 1
## 2070 2070 solved 1
## 2071 2071 solves 1
## 2072 2072 solving 1
## 2073 2073 somber -2
## 2074 2074 some kind 0
## 2075 2075 son-of-a-bitch -5
## 2076 2076 soothe 3
## 2077 2077 soothed 3
## 2078 2078 soothing 3
## 2079 2079 sophisticated 2
## 2080 2080 sore -1
## 2081 2081 sorrow -2
## 2082 2082 sorrowful -2
## 2083 2083 sorry -1
## 2084 2084 spam -2
## 2085 2085 spammer -3
## 2086 2086 spammers -3
## 2087 2087 spamming -2
## 2088 2088 spark 1
## 2089 2089 sparkle 3
## 2090 2090 sparkles 3
## 2091 2091 sparkling 3
## 2092 2092 speculative -2
## 2093 2093 spirit 1
## 2094 2094 spirited 2
## 2095 2095 spiritless -2
## 2096 2096 spiteful -2
## 2097 2097 splendid 3
## 2098 2098 sprightly 2
## 2099 2099 squelched -1
## 2100 2100 stab -2
## 2101 2101 stabbed -2
## 2102 2102 stable 2
## 2103 2103 stabs -2
## 2104 2104 stall -2
## 2105 2105 stalled -2
## 2106 2106 stalling -2
## 2107 2107 stamina 2
## 2108 2108 stampede -2
## 2109 2109 startled -2
## 2110 2110 starve -2
## 2111 2111 starved -2
## 2112 2112 starves -2
## 2113 2113 starving -2
## 2114 2114 steadfast 2
## 2115 2115 steal -2
## 2116 2116 steals -2
## 2117 2117 stereotype -2
## 2118 2118 stereotyped -2
## 2119 2119 stifled -1
## 2120 2120 stimulate 1
## 2121 2121 stimulated 1
## 2122 2122 stimulates 1
## 2123 2123 stimulating 2
## 2124 2124 stingy -2
## 2125 2125 stolen -2
## 2126 2126 stop -1
## 2127 2127 stopped -1
## 2128 2128 stopping -1
## 2129 2129 stops -1
## 2130 2130 stout 2
## 2131 2131 straight 1
## 2132 2132 strange -1
## 2133 2133 strangely -1
## 2134 2134 strangled -2
## 2135 2135 strength 2
## 2136 2136 strengthen 2
## 2137 2137 strengthened 2
## 2138 2138 strengthening 2
## 2139 2139 strengthens 2
## 2140 2140 stressed -2
## 2141 2141 stressor -2
## 2142 2142 stressors -2
## 2143 2143 stricken -2
## 2144 2144 strike -1
## 2145 2145 strikers -2
## 2146 2146 strikes -1
## 2147 2147 strong 2
## 2148 2148 stronger 2
## 2149 2149 strongest 2
## 2150 2150 struck -1
## 2151 2151 struggle -2
## 2152 2152 struggled -2
## 2153 2153 struggles -2
## 2154 2154 struggling -2
## 2155 2155 stubborn -2
## 2156 2156 stuck -2
## 2157 2157 stunned -2
## 2158 2158 stunning 4
## 2159 2159 stupid -2
## 2160 2160 stupidly -2
## 2161 2161 suave 2
## 2162 2162 substantial 1
## 2163 2163 substantially 1
## 2164 2164 subversive -2
## 2165 2165 success 2
## 2166 2166 successful 3
## 2167 2167 suck -3
## 2168 2168 sucks -3
## 2169 2169 suffer -2
## 2170 2170 suffering -2
## 2171 2171 suffers -2
## 2172 2172 suicidal -2
## 2173 2173 suicide -2
## 2174 2174 suing -2
## 2175 2175 sulking -2
## 2176 2176 sulky -2
## 2177 2177 sullen -2
## 2178 2178 sunshine 2
## 2179 2179 super 3
## 2180 2180 superb 5
## 2181 2181 superior 2
## 2182 2182 support 2
## 2183 2183 supported 2
## 2184 2184 supporter 1
## 2185 2185 supporters 1
## 2186 2186 supporting 1
## 2187 2187 supportive 2
## 2188 2188 supports 2
## 2189 2189 survived 2
## 2190 2190 surviving 2
## 2191 2191 survivor 2
## 2192 2192 suspect -1
## 2193 2193 suspected -1
## 2194 2194 suspecting -1
## 2195 2195 suspects -1
## 2196 2196 suspend -1
## 2197 2197 suspended -1
## 2198 2198 suspicious -2
## 2199 2199 swear -2
## 2200 2200 swearing -2
## 2201 2201 swears -2
## 2202 2202 sweet 2
## 2203 2203 swift 2
## 2204 2204 swiftly 2
## 2205 2205 swindle -3
## 2206 2206 swindles -3
## 2207 2207 swindling -3
## 2208 2208 sympathetic 2
## 2209 2209 sympathy 2
## 2210 2210 tard -2
## 2211 2211 tears -2
## 2212 2212 tender 2
## 2213 2213 tense -2
## 2214 2214 tension -1
## 2215 2215 terrible -3
## 2216 2216 terribly -3
## 2217 2217 terrific 4
## 2218 2218 terrified -3
## 2219 2219 terror -3
## 2220 2220 terrorize -3
## 2221 2221 terrorized -3
## 2222 2222 terrorizes -3
## 2223 2223 thank 2
## 2224 2224 thankful 2
## 2225 2225 thanks 2
## 2226 2226 thorny -2
## 2227 2227 thoughtful 2
## 2228 2228 thoughtless -2
## 2229 2229 threat -2
## 2230 2230 threaten -2
## 2231 2231 threatened -2
## 2232 2232 threatening -2
## 2233 2233 threatens -2
## 2234 2234 threats -2
## 2235 2235 thrilled 5
## 2236 2236 thwart -2
## 2237 2237 thwarted -2
## 2238 2238 thwarting -2
## 2239 2239 thwarts -2
## 2240 2240 timid -2
## 2241 2241 timorous -2
## 2242 2242 tired -2
## 2243 2243 tits -2
## 2244 2244 tolerant 2
## 2245 2245 toothless -2
## 2246 2246 top 2
## 2247 2247 tops 2
## 2248 2248 torn -2
## 2249 2249 torture -4
## 2250 2250 tortured -4
## 2251 2251 tortures -4
## 2252 2252 torturing -4
## 2253 2253 totalitarian -2
## 2254 2254 totalitarianism -2
## 2255 2255 tout -2
## 2256 2256 touted -2
## 2257 2257 touting -2
## 2258 2258 touts -2
## 2259 2259 tragedy -2
## 2260 2260 tragic -2
## 2261 2261 tranquil 2
## 2262 2262 trap -1
## 2263 2263 trapped -2
## 2264 2264 trauma -3
## 2265 2265 traumatic -3
## 2266 2266 travesty -2
## 2267 2267 treason -3
## 2268 2268 treasonous -3
## 2269 2269 treasure 2
## 2270 2270 treasures 2
## 2271 2271 trembling -2
## 2272 2272 tremulous -2
## 2273 2273 tricked -2
## 2274 2274 trickery -2
## 2275 2275 triumph 4
## 2276 2276 triumphant 4
## 2277 2277 trouble -2
## 2278 2278 troubled -2
## 2279 2279 troubles -2
## 2280 2280 true 2
## 2281 2281 trust 1
## 2282 2282 trusted 2
## 2283 2283 tumor -2
## 2284 2284 twat -5
## 2285 2285 ugly -3
## 2286 2286 unacceptable -2
## 2287 2287 unappreciated -2
## 2288 2288 unapproved -2
## 2289 2289 unaware -2
## 2290 2290 unbelievable -1
## 2291 2291 unbelieving -1
## 2292 2292 unbiased 2
## 2293 2293 uncertain -1
## 2294 2294 unclear -1
## 2295 2295 uncomfortable -2
## 2296 2296 unconcerned -2
## 2297 2297 unconfirmed -1
## 2298 2298 unconvinced -1
## 2299 2299 uncredited -1
## 2300 2300 undecided -1
## 2301 2301 underestimate -1
## 2302 2302 underestimated -1
## 2303 2303 underestimates -1
## 2304 2304 underestimating -1
## 2305 2305 undermine -2
## 2306 2306 undermined -2
## 2307 2307 undermines -2
## 2308 2308 undermining -2
## 2309 2309 undeserving -2
## 2310 2310 undesirable -2
## 2311 2311 uneasy -2
## 2312 2312 unemployment -2
## 2313 2313 unequal -1
## 2314 2314 unequaled 2
## 2315 2315 unethical -2
## 2316 2316 unfair -2
## 2317 2317 unfocused -2
## 2318 2318 unfulfilled -2
## 2319 2319 unhappy -2
## 2320 2320 unhealthy -2
## 2321 2321 unified 1
## 2322 2322 unimpressed -2
## 2323 2323 unintelligent -2
## 2324 2324 united 1
## 2325 2325 unjust -2
## 2326 2326 unlovable -2
## 2327 2327 unloved -2
## 2328 2328 unmatched 1
## 2329 2329 unmotivated -2
## 2330 2330 unprofessional -2
## 2331 2331 unresearched -2
## 2332 2332 unsatisfied -2
## 2333 2333 unsecured -2
## 2334 2334 unsettled -1
## 2335 2335 unsophisticated -2
## 2336 2336 unstable -2
## 2337 2337 unstoppable 2
## 2338 2338 unsupported -2
## 2339 2339 unsure -1
## 2340 2340 untarnished 2
## 2341 2341 unwanted -2
## 2342 2342 unworthy -2
## 2343 2343 upset -2
## 2344 2344 upsets -2
## 2345 2345 upsetting -2
## 2346 2346 uptight -2
## 2347 2347 urgent -1
## 2348 2348 useful 2
## 2349 2349 usefulness 2
## 2350 2350 useless -2
## 2351 2351 uselessness -2
## 2352 2352 vague -2
## 2353 2353 validate 1
## 2354 2354 validated 1
## 2355 2355 validates 1
## 2356 2356 validating 1
## 2357 2357 verdict -1
## 2358 2358 verdicts -1
## 2359 2359 vested 1
## 2360 2360 vexation -2
## 2361 2361 vexing -2
## 2362 2362 vibrant 3
## 2363 2363 vicious -2
## 2364 2364 victim -3
## 2365 2365 victimize -3
## 2366 2366 victimized -3
## 2367 2367 victimizes -3
## 2368 2368 victimizing -3
## 2369 2369 victims -3
## 2370 2370 vigilant 3
## 2371 2371 vile -3
## 2372 2372 vindicate 2
## 2373 2373 vindicated 2
## 2374 2374 vindicates 2
## 2375 2375 vindicating 2
## 2376 2376 violate -2
## 2377 2377 violated -2
## 2378 2378 violates -2
## 2379 2379 violating -2
## 2380 2380 violence -3
## 2381 2381 violent -3
## 2382 2382 virtuous 2
## 2383 2383 virulent -2
## 2384 2384 vision 1
## 2385 2385 visionary 3
## 2386 2386 visioning 1
## 2387 2387 visions 1
## 2388 2388 vitality 3
## 2389 2389 vitamin 1
## 2390 2390 vitriolic -3
## 2391 2391 vivacious 3
## 2392 2392 vociferous -1
## 2393 2393 vulnerability -2
## 2394 2394 vulnerable -2
## 2395 2395 walkout -2
## 2396 2396 walkouts -2
## 2397 2397 wanker -3
## 2398 2398 want 1
## 2399 2399 war -2
## 2400 2400 warfare -2
## 2401 2401 warm 1
## 2402 2402 warmth 2
## 2403 2403 warn -2
## 2404 2404 warned -2
## 2405 2405 warning -3
## 2406 2406 warnings -3
## 2407 2407 warns -2
## 2408 2408 waste -1
## 2409 2409 wasted -2
## 2410 2410 wasting -2
## 2411 2411 wavering -1
## 2412 2412 weak -2
## 2413 2413 weakness -2
## 2414 2414 wealth 3
## 2415 2415 wealthy 2
## 2416 2416 weary -2
## 2417 2417 weep -2
## 2418 2418 weeping -2
## 2419 2419 weird -2
## 2420 2420 welcome 2
## 2421 2421 welcomed 2
## 2422 2422 welcomes 2
## 2423 2423 whimsical 1
## 2424 2424 whitewash -3
## 2425 2425 whore -4
## 2426 2426 wicked -2
## 2427 2427 widowed -1
## 2428 2428 willingness 2
## 2429 2429 win 4
## 2430 2430 winner 4
## 2431 2431 winning 4
## 2432 2432 wins 4
## 2433 2433 winwin 3
## 2434 2434 wish 1
## 2435 2435 wishes 1
## 2436 2436 wishing 1
## 2437 2437 withdrawal -3
## 2438 2438 woebegone -2
## 2439 2439 woeful -3
## 2440 2440 won 3
## 2441 2441 wonderful 4
## 2442 2442 woo 3
## 2443 2443 woohoo 3
## 2444 2444 wooo 4
## 2445 2445 woow 4
## 2446 2446 worn -1
## 2447 2447 worried -3
## 2448 2448 worry -3
## 2449 2449 worrying -3
## 2450 2450 worse -3
## 2451 2451 worsen -3
## 2452 2452 worsened -3
## 2453 2453 worsening -3
## 2454 2454 worsens -3
## 2455 2455 worshiped 3
## 2456 2456 worst -3
## 2457 2457 worth 2
## 2458 2458 worthless -2
## 2459 2459 worthy 2
## 2460 2460 wow 4
## 2461 2461 wowow 4
## 2462 2462 wowww 4
## 2463 2463 wrathful -3
## 2464 2464 wreck -2
## 2465 2465 wrong -2
## 2466 2466 wronged -2
## 2467 2467 wtf -4
## 2468 2468 yeah 1
## 2469 2469 yearning 1
## 2470 2470 yeees 2
## 2471 2471 yes 1
## 2472 2472 youthful 2
## 2473 2473 yucky -2
## 2474 2474 yummy 3
## 2475 2475 zealot -2
## 2476 2476 zealots -2
## 2477 2477 zealous 2Looking at bing
bing <- get_sentiments("bing")
bing## # A tibble: 6,786 × 2
## word sentiment
## <chr> <chr>
## 1 2-faces negative
## 2 abnormal negative
## 3 abolish negative
## 4 abominable negative
## 5 abominably negative
## 6 abominate negative
## 7 abomination negative
## 8 abort negative
## 9 aborted negative
## 10 aborts negative
## # ℹ 6,776 more rowsLooking at nrc
nrc <- read.csv("nrc.csv")
nrc## X word sentiment
## 1 1 abacus trust
## 2 2 abandon fear
## 3 3 abandon negative
## 4 4 abandon sadness
## 5 5 abandoned anger
## 6 6 abandoned fear
## 7 7 abandoned negative
## 8 8 abandoned sadness
## 9 9 abandonment anger
## 10 10 abandonment fear
## 11 11 abandonment negative
## 12 12 abandonment sadness
## 13 13 abandonment surprise
## 14 14 abba positive
## 15 15 abbot trust
## 16 16 abduction fear
## 17 17 abduction negative
## 18 18 abduction sadness
## 19 19 abduction surprise
## 20 20 aberrant negative
## 21 21 aberration disgust
## 22 22 aberration negative
## 23 23 abhor anger
## 24 24 abhor disgust
## 25 25 abhor fear
## 26 26 abhor negative
## 27 27 abhorrent anger
## 28 28 abhorrent disgust
## 29 29 abhorrent fear
## 30 30 abhorrent negative
## 31 31 ability positive
## 32 32 abject disgust
## 33 33 abject negative
## 34 34 abnormal disgust
## 35 35 abnormal negative
## 36 36 abolish anger
## 37 37 abolish negative
## 38 38 abolition negative
## 39 39 abominable disgust
## 40 40 abominable fear
## 41 41 abominable negative
## 42 42 abomination anger
## 43 43 abomination disgust
## 44 44 abomination fear
## 45 45 abomination negative
## 46 46 abort negative
## 47 47 abortion disgust
## 48 48 abortion fear
## 49 49 abortion negative
## 50 50 abortion sadness
## 51 51 abortive negative
## 52 52 abortive sadness
## 53 53 abovementioned positive
## 54 54 abrasion negative
## 55 55 abrogate negative
## 56 56 abrupt surprise
## 57 57 abscess negative
## 58 58 abscess sadness
## 59 59 absence fear
## 60 60 absence negative
## 61 61 absence sadness
## 62 62 absent negative
## 63 63 absent sadness
## 64 64 absentee negative
## 65 65 absentee sadness
## 66 66 absenteeism negative
## 67 67 absolute positive
## 68 68 absolution joy
## 69 69 absolution positive
## 70 70 absolution trust
## 71 71 absorbed positive
## 72 72 absurd negative
## 73 73 absurdity negative
## 74 74 abundance anticipation
## 75 75 abundance disgust
## 76 76 abundance joy
## 77 77 abundance negative
## 78 78 abundance positive
## 79 79 abundance trust
## 80 80 abundant joy
## 81 81 abundant positive
## 82 82 abuse anger
## 83 83 abuse disgust
## 84 84 abuse fear
## 85 85 abuse negative
## 86 86 abuse sadness
## 87 87 abysmal negative
## 88 88 abysmal sadness
## 89 89 abyss fear
## 90 90 abyss negative
## 91 91 abyss sadness
## 92 92 academic positive
## 93 93 academic trust
## 94 94 academy positive
## 95 95 accelerate anticipation
## 96 96 acceptable positive
## 97 97 acceptance positive
## 98 98 accessible positive
## 99 99 accident fear
## 100 100 accident negative
## 101 101 accident sadness
## 102 102 accident surprise
## 103 103 accidental fear
## 104 104 accidental negative
## 105 105 accidental surprise
## 106 106 accidentally surprise
## 107 107 accolade anticipation
## 108 108 accolade joy
## 109 109 accolade positive
## 110 110 accolade surprise
## 111 111 accolade trust
## 112 112 accommodation positive
## 113 113 accompaniment anticipation
## 114 114 accompaniment joy
## 115 115 accompaniment positive
## 116 116 accompaniment trust
## 117 117 accomplish joy
## 118 118 accomplish positive
## 119 119 accomplished joy
## 120 120 accomplished positive
## 121 121 accomplishment positive
## 122 122 accord positive
## 123 123 accord trust
## 124 124 account trust
## 125 125 accountability positive
## 126 126 accountability trust
## 127 127 accountable positive
## 128 128 accountable trust
## 129 129 accountant trust
## 130 130 accounts trust
## 131 131 accredited positive
## 132 132 accredited trust
## 133 133 accueil positive
## 134 134 accurate positive
## 135 135 accurate trust
## 136 136 accursed anger
## 137 137 accursed fear
## 138 138 accursed negative
## 139 139 accursed sadness
## 140 140 accusation anger
## 141 141 accusation disgust
## 142 142 accusation negative
## 143 143 accusative negative
## 144 144 accused anger
## 145 145 accused fear
## 146 146 accused negative
## 147 147 accuser anger
## 148 148 accuser fear
## 149 149 accuser negative
## 150 150 accusing anger
## 151 151 accusing fear
## 152 152 accusing negative
## 153 153 ace positive
## 154 154 ache negative
## 155 155 ache sadness
## 156 156 achieve joy
## 157 157 achieve positive
## 158 158 achieve trust
## 159 159 achievement anticipation
## 160 160 achievement joy
## 161 161 achievement positive
## 162 162 achievement trust
## 163 163 aching negative
## 164 164 aching sadness
## 165 165 acid negative
## 166 166 acknowledgment positive
## 167 167 acquire positive
## 168 168 acquiring anticipation
## 169 169 acquiring positive
## 170 170 acrobat fear
## 171 171 acrobat joy
## 172 172 acrobat positive
## 173 173 acrobat trust
## 174 174 action positive
## 175 175 actionable anger
## 176 176 actionable disgust
## 177 177 actionable negative
## 178 178 actual positive
## 179 179 acuity positive
## 180 180 acumen positive
## 181 181 adapt positive
## 182 182 adaptable positive
## 183 183 adder anger
## 184 184 adder disgust
## 185 185 adder fear
## 186 186 adder negative
## 187 187 adder sadness
## 188 188 addiction negative
## 189 189 addresses anticipation
## 190 190 addresses positive
## 191 191 adept positive
## 192 192 adequacy positive
## 193 193 adhering trust
## 194 194 adipose negative
## 195 195 adjudicate fear
## 196 196 adjudicate negative
## 197 197 adjunct positive
## 198 198 administrative trust
## 199 199 admirable joy
## 200 200 admirable positive
## 201 201 admirable trust
## 202 202 admiral positive
## 203 203 admiral trust
## 204 204 admiration joy
## 205 205 admiration positive
## 206 206 admiration trust
## 207 207 admire positive
## 208 208 admire trust
## 209 209 admirer positive
## 210 210 admissible positive
## 211 211 admissible trust
## 212 212 admonition fear
## 213 213 admonition negative
## 214 214 adorable joy
## 215 215 adorable positive
## 216 216 adoration joy
## 217 217 adoration positive
## 218 218 adoration trust
## 219 219 adore anticipation
## 220 220 adore joy
## 221 221 adore positive
## 222 222 adore trust
## 223 223 adrift anticipation
## 224 224 adrift fear
## 225 225 adrift negative
## 226 226 adrift sadness
## 227 227 adulterated negative
## 228 228 adultery disgust
## 229 229 adultery negative
## 230 230 adultery sadness
## 231 231 advance anticipation
## 232 232 advance fear
## 233 233 advance joy
## 234 234 advance positive
## 235 235 advance surprise
## 236 236 advanced positive
## 237 237 advancement positive
## 238 238 advantage positive
## 239 239 advantageous positive
## 240 240 advent anticipation
## 241 241 advent joy
## 242 242 advent positive
## 243 243 advent trust
## 244 244 adventure anticipation
## 245 245 adventure positive
## 246 246 adventurous positive
## 247 247 adversary anger
## 248 248 adversary negative
## 249 249 adverse anger
## 250 250 adverse disgust
## 251 251 adverse fear
## 252 252 adverse negative
## 253 253 adverse sadness
## 254 254 adversity anger
## 255 255 adversity fear
## 256 256 adversity negative
## 257 257 adversity sadness
## 258 258 advice trust
## 259 259 advisable positive
## 260 260 advisable trust
## 261 261 advise positive
## 262 262 advise trust
## 263 263 advised trust
## 264 264 adviser positive
## 265 265 adviser trust
## 266 266 advocacy anger
## 267 267 advocacy anticipation
## 268 268 advocacy joy
## 269 269 advocacy positive
## 270 270 advocacy trust
## 271 271 advocate trust
## 272 272 aesthetic positive
## 273 273 aesthetics joy
## 274 274 aesthetics positive
## 275 275 affable positive
## 276 276 affection joy
## 277 277 affection positive
## 278 278 affection trust
## 279 279 affiliated positive
## 280 280 affirm positive
## 281 281 affirm trust
## 282 282 affirmation positive
## 283 283 affirmative positive
## 284 284 affirmatively positive
## 285 285 affirmatively trust
## 286 286 afflict fear
## 287 287 afflict negative
## 288 288 afflict sadness
## 289 289 afflicted negative
## 290 290 affliction disgust
## 291 291 affliction fear
## 292 292 affliction negative
## 293 293 affliction sadness
## 294 294 affluence joy
## 295 295 affluence positive
## 296 296 affluent positive
## 297 297 afford positive
## 298 298 affront anger
## 299 299 affront disgust
## 300 300 affront fear
## 301 301 affront negative
## 302 302 affront sadness
## 303 303 affront surprise
## 304 304 afraid fear
## 305 305 afraid negative
## 306 306 aftermath anger
## 307 307 aftermath disgust
## 308 308 aftermath fear
## 309 309 aftermath negative
## 310 310 aftermath sadness
## 311 311 aftertaste negative
## 312 312 aga fear
## 313 313 aga positive
## 314 314 aga trust
## 315 315 aggravated anger
## 316 316 aggravated negative
## 317 317 aggravating anger
## 318 318 aggravating negative
## 319 319 aggravating sadness
## 320 320 aggravation anger
## 321 321 aggravation disgust
## 322 322 aggravation negative
## 323 323 aggression anger
## 324 324 aggression fear
## 325 325 aggression negative
## 326 326 aggressive anger
## 327 327 aggressive fear
## 328 328 aggressive negative
## 329 329 aggressor anger
## 330 330 aggressor fear
## 331 331 aggressor negative
## 332 332 aghast disgust
## 333 333 aghast fear
## 334 334 aghast negative
## 335 335 aghast surprise
## 336 336 agile positive
## 337 337 agility positive
## 338 338 agitated anger
## 339 339 agitated negative
## 340 340 agitation anger
## 341 341 agitation negative
## 342 342 agonizing fear
## 343 343 agonizing negative
## 344 344 agony anger
## 345 345 agony fear
## 346 346 agony negative
## 347 347 agony sadness
## 348 348 agree positive
## 349 349 agreeable positive
## 350 350 agreeable trust
## 351 351 agreed positive
## 352 352 agreed trust
## 353 353 agreeing positive
## 354 354 agreeing trust
## 355 355 agreement positive
## 356 356 agreement trust
## 357 357 agriculture positive
## 358 358 aground negative
## 359 359 ahead positive
## 360 360 aid positive
## 361 361 aiding positive
## 362 362 ail negative
## 363 363 ail sadness
## 364 364 ailing fear
## 365 365 ailing negative
## 366 366 ailing sadness
## 367 367 aimless negative
## 368 368 airport anticipation
## 369 369 airs disgust
## 370 370 airs negative
## 371 371 akin trust
## 372 372 alabaster positive
## 373 373 alarm fear
## 374 374 alarm negative
## 375 375 alarm surprise
## 376 376 alarming fear
## 377 377 alarming negative
## 378 378 alarming surprise
## 379 379 alb trust
## 380 380 alcoholism anger
## 381 381 alcoholism disgust
## 382 382 alcoholism fear
## 383 383 alcoholism negative
## 384 384 alcoholism sadness
## 385 385 alertness anticipation
## 386 386 alertness fear
## 387 387 alertness positive
## 388 388 alertness surprise
## 389 389 alerts anticipation
## 390 390 alerts fear
## 391 391 alerts surprise
## 392 392 alien disgust
## 393 393 alien fear
## 394 394 alien negative
## 395 395 alienate anger
## 396 396 alienate disgust
## 397 397 alienate negative
## 398 398 alienated negative
## 399 399 alienated sadness
## 400 400 alienation anger
## 401 401 alienation disgust
## 402 402 alienation fear
## 403 403 alienation negative
## 404 404 alienation sadness
## 405 405 alimentation positive
## 406 406 alimony negative
## 407 407 alive anticipation
## 408 408 alive joy
## 409 409 alive positive
## 410 410 alive trust
## 411 411 allay positive
## 412 412 allegation anger
## 413 413 allegation negative
## 414 414 allege negative
## 415 415 allegiance positive
## 416 416 allegiance trust
## 417 417 allegro positive
## 418 418 alleviate positive
## 419 419 alleviation positive
## 420 420 alliance trust
## 421 421 allied positive
## 422 422 allied trust
## 423 423 allowable positive
## 424 424 allure anticipation
## 425 425 allure joy
## 426 426 allure positive
## 427 427 allure surprise
## 428 428 alluring positive
## 429 429 ally positive
## 430 430 ally trust
## 431 431 almighty positive
## 432 432 aloha anticipation
## 433 433 aloha joy
## 434 434 aloha positive
## 435 435 aloof negative
## 436 436 altercation anger
## 437 437 altercation negative
## 438 438 amaze surprise
## 439 439 amazingly joy
## 440 440 amazingly positive
## 441 441 amazingly surprise
## 442 442 ambassador positive
## 443 443 ambassador trust
## 444 444 ambiguous negative
## 445 445 ambition anticipation
## 446 446 ambition joy
## 447 447 ambition positive
## 448 448 ambition trust
## 449 449 ambulance fear
## 450 450 ambulance trust
## 451 451 ambush anger
## 452 452 ambush fear
## 453 453 ambush negative
## 454 454 ambush surprise
## 455 455 ameliorate positive
## 456 456 amen joy
## 457 457 amen positive
## 458 458 amen trust
## 459 459 amenable positive
## 460 460 amend positive
## 461 461 amends positive
## 462 462 amenity positive
## 463 463 amiable positive
## 464 464 amicable joy
## 465 465 amicable positive
## 466 466 ammonia disgust
## 467 467 amnesia negative
## 468 468 amnesty joy
## 469 469 amnesty positive
## 470 470 amortization trust
## 471 471 amour anticipation
## 472 472 amour joy
## 473 473 amour positive
## 474 474 amour trust
## 475 475 amphetamines disgust
## 476 476 amphetamines negative
## 477 477 amuse joy
## 478 478 amuse positive
## 479 479 amused joy
## 480 480 amused positive
## 481 481 amusement joy
## 482 482 amusement positive
## 483 483 amusing joy
## 484 484 amusing positive
## 485 485 anaconda disgust
## 486 486 anaconda fear
## 487 487 anaconda negative
## 488 488 anal negative
## 489 489 analyst anticipation
## 490 490 analyst positive
## 491 491 analyst trust
## 492 492 anarchism anger
## 493 493 anarchism fear
## 494 494 anarchism negative
## 495 495 anarchist anger
## 496 496 anarchist fear
## 497 497 anarchist negative
## 498 498 anarchy anger
## 499 499 anarchy fear
## 500 500 anarchy negative
## 501 501 anathema anger
## 502 502 anathema disgust
## 503 503 anathema fear
## 504 504 anathema negative
## 505 505 anathema sadness
## 506 506 ancestral trust
## 507 507 anchor positive
## 508 508 anchorage positive
## 509 509 anchorage sadness
## 510 510 ancient negative
## 511 511 angel anticipation
## 512 512 angel joy
## 513 513 angel positive
## 514 514 angel surprise
## 515 515 angel trust
## 516 516 angelic joy
## 517 517 angelic positive
## 518 518 angelic trust
## 519 519 anger anger
## 520 520 anger negative
## 521 521 angina fear
## 522 522 angina negative
## 523 523 angling anticipation
## 524 524 angling negative
## 525 525 angry anger
## 526 526 angry disgust
## 527 527 angry negative
## 528 528 anguish anger
## 529 529 anguish fear
## 530 530 anguish negative
## 531 531 anguish sadness
## 532 532 animate positive
## 533 533 animated joy
## 534 534 animated positive
## 535 535 animosity anger
## 536 536 animosity disgust
## 537 537 animosity fear
## 538 538 animosity negative
## 539 539 animosity sadness
## 540 540 animus anger
## 541 541 animus negative
## 542 542 annihilate anger
## 543 543 annihilate fear
## 544 544 annihilate negative
## 545 545 annihilated anger
## 546 546 annihilated fear
## 547 547 annihilated negative
## 548 548 annihilated sadness
## 549 549 annihilation anger
## 550 550 annihilation fear
## 551 551 annihilation negative
## 552 552 annihilation sadness
## 553 553 announcement anticipation
## 554 554 annoy anger
## 555 555 annoy disgust
## 556 556 annoy negative
## 557 557 annoyance anger
## 558 558 annoyance disgust
## 559 559 annoyance negative
## 560 560 annoying anger
## 561 561 annoying negative
## 562 562 annul negative
## 563 563 annulment negative
## 564 564 annulment sadness
## 565 565 anomaly fear
## 566 566 anomaly negative
## 567 567 anomaly surprise
## 568 568 anonymous negative
## 569 569 answerable trust
## 570 570 antagonism anger
## 571 571 antagonism negative
## 572 572 antagonist anger
## 573 573 antagonist negative
## 574 574 antagonistic anger
## 575 575 antagonistic disgust
## 576 576 antagonistic negative
## 577 577 anthrax disgust
## 578 578 anthrax fear
## 579 579 anthrax negative
## 580 580 anthrax sadness
## 581 581 antibiotics positive
## 582 582 antichrist anger
## 583 583 antichrist disgust
## 584 584 antichrist fear
## 585 585 antichrist negative
## 586 586 anticipation anticipation
## 587 587 anticipatory anticipation
## 588 588 antidote anticipation
## 589 589 antidote positive
## 590 590 antidote trust
## 591 591 antifungal positive
## 592 592 antifungal trust
## 593 593 antipathy anger
## 594 594 antipathy disgust
## 595 595 antipathy negative
## 596 596 antiquated negative
## 597 597 antique positive
## 598 598 antiseptic positive
## 599 599 antiseptic trust
## 600 600 antisocial anger
## 601 601 antisocial disgust
## 602 602 antisocial fear
## 603 603 antisocial negative
## 604 604 antisocial sadness
## 605 605 antithesis anger
## 606 606 antithesis negative
## 607 607 anxiety anger
## 608 608 anxiety anticipation
## 609 609 anxiety fear
## 610 610 anxiety negative
## 611 611 anxiety sadness
## 612 612 anxious anticipation
## 613 613 anxious fear
## 614 614 anxious negative
## 615 615 apache fear
## 616 616 apache negative
## 617 617 apathetic negative
## 618 618 apathetic sadness
## 619 619 apathy negative
## 620 620 apathy sadness
## 621 621 aphid disgust
## 622 622 aphid negative
## 623 623 aplomb positive
## 624 624 apologetic positive
## 625 625 apologetic trust
## 626 626 apologize positive
## 627 627 apologize sadness
## 628 628 apologize trust
## 629 629 apology positive
## 630 630 apostle positive
## 631 631 apostle trust
## 632 632 apostolic trust
## 633 633 appalling disgust
## 634 634 appalling fear
## 635 635 appalling negative
## 636 636 apparition fear
## 637 637 apparition surprise
## 638 638 appeal anticipation
## 639 639 appendicitis fear
## 640 640 appendicitis negative
## 641 641 appendicitis sadness
## 642 642 applause joy
## 643 643 applause positive
## 644 644 applause surprise
## 645 645 applause trust
## 646 646 applicant anticipation
## 647 647 appreciation joy
## 648 648 appreciation positive
## 649 649 appreciation trust
## 650 650 apprehend fear
## 651 651 apprehension fear
## 652 652 apprehension negative
## 653 653 apprehensive anticipation
## 654 654 apprehensive fear
## 655 655 apprehensive negative
## 656 656 apprentice trust
## 657 657 approaching anticipation
## 658 658 approbation positive
## 659 659 approbation trust
## 660 660 appropriation negative
## 661 661 approval positive
## 662 662 approve joy
## 663 663 approve positive
## 664 664 approve trust
## 665 665 approving positive
## 666 666 apt positive
## 667 667 aptitude positive
## 668 668 arbiter trust
## 669 669 arbitration anticipation
## 670 670 arbitrator trust
## 671 671 archaeology anticipation
## 672 672 archaeology positive
## 673 673 archaic negative
## 674 674 architecture trust
## 675 675 ardent anticipation
## 676 676 ardent joy
## 677 677 ardent positive
## 678 678 ardor positive
## 679 679 arduous negative
## 680 680 argue anger
## 681 681 argue negative
## 682 682 argument anger
## 683 683 argument negative
## 684 684 argumentation anger
## 685 685 argumentative negative
## 686 686 arguments anger
## 687 687 arid negative
## 688 688 arid sadness
## 689 689 aristocracy positive
## 690 690 aristocratic positive
## 691 691 armament anger
## 692 692 armament fear
## 693 693 armaments fear
## 694 694 armaments negative
## 695 695 armed anger
## 696 696 armed fear
## 697 697 armed negative
## 698 698 armed positive
## 699 699 armor fear
## 700 700 armor positive
## 701 701 armor trust
## 702 702 armored fear
## 703 703 armory trust
## 704 704 aroma positive
## 705 705 arouse anticipation
## 706 706 arouse positive
## 707 707 arraignment anger
## 708 708 arraignment fear
## 709 709 arraignment negative
## 710 710 arraignment sadness
## 711 711 array positive
## 712 712 arrears negative
## 713 713 arrest negative
## 714 714 arrival anticipation
## 715 715 arrive anticipation
## 716 716 arrogance negative
## 717 717 arrogant anger
## 718 718 arrogant disgust
## 719 719 arrogant negative
## 720 720 arsenic disgust
## 721 721 arsenic fear
## 722 722 arsenic negative
## 723 723 arsenic sadness
## 724 724 arson anger
## 725 725 arson fear
## 726 726 arson negative
## 727 727 art anticipation
## 728 728 art joy
## 729 729 art positive
## 730 730 art sadness
## 731 731 art surprise
## 732 732 articulate positive
## 733 733 articulation positive
## 734 734 artillery fear
## 735 735 artillery negative
## 736 736 artisan positive
## 737 737 artiste positive
## 738 738 artistic positive
## 739 739 ascendancy positive
## 740 740 ascent positive
## 741 741 ash negative
## 742 742 ashamed disgust
## 743 743 ashamed negative
## 744 744 ashamed sadness
## 745 745 ashes negative
## 746 746 ashes sadness
## 747 747 asp fear
## 748 748 aspiration anticipation
## 749 749 aspiration joy
## 750 750 aspiration positive
## 751 751 aspiration surprise
## 752 752 aspiration trust
## 753 753 aspire anticipation
## 754 754 aspire joy
## 755 755 aspire positive
## 756 756 aspiring anticipation
## 757 757 aspiring joy
## 758 758 aspiring positive
## 759 759 aspiring trust
## 760 760 ass negative
## 761 761 assail anger
## 762 762 assail fear
## 763 763 assail negative
## 764 764 assail surprise
## 765 765 assailant anger
## 766 766 assailant fear
## 767 767 assailant negative
## 768 768 assailant sadness
## 769 769 assassin anger
## 770 770 assassin fear
## 771 771 assassin negative
## 772 772 assassin sadness
## 773 773 assassinate anger
## 774 774 assassinate fear
## 775 775 assassinate negative
## 776 776 assassination anger
## 777 777 assassination fear
## 778 778 assassination negative
## 779 779 assassination sadness
## 780 780 assault anger
## 781 781 assault fear
## 782 782 assault negative
## 783 783 assembly positive
## 784 784 assembly trust
## 785 785 assent positive
## 786 786 asserting positive
## 787 787 asserting trust
## 788 788 assessment surprise
## 789 789 assessment trust
## 790 790 assessor trust
## 791 791 assets positive
## 792 792 asshole anger
## 793 793 asshole disgust
## 794 794 asshole negative
## 795 795 assignee trust
## 796 796 assist positive
## 797 797 assist trust
## 798 798 assistance positive
## 799 799 associate positive
## 800 800 associate trust
## 801 801 association trust
## 802 802 assuage positive
## 803 803 assurance positive
## 804 804 assurance trust
## 805 805 assure trust
## 806 806 assured positive
## 807 807 assured trust
## 808 808 assuredly trust
## 809 809 astonishingly positive
## 810 810 astonishingly surprise
## 811 811 astonishment joy
## 812 812 astonishment positive
## 813 813 astonishment surprise
## 814 814 astray fear
## 815 815 astray negative
## 816 816 astringent negative
## 817 817 astrologer anticipation
## 818 818 astrologer positive
## 819 819 astronaut positive
## 820 820 astronomer anticipation
## 821 821 astronomer positive
## 822 822 astute positive
## 823 823 asylum fear
## 824 824 asylum negative
## 825 825 asymmetry disgust
## 826 826 atheism negative
## 827 827 atherosclerosis fear
## 828 828 atherosclerosis negative
## 829 829 atherosclerosis sadness
## 830 830 athlete positive
## 831 831 athletic positive
## 832 832 atom positive
## 833 833 atone anticipation
## 834 834 atone joy
## 835 835 atone positive
## 836 836 atone trust
## 837 837 atonement positive
## 838 838 atrocious anger
## 839 839 atrocious disgust
## 840 840 atrocious negative
## 841 841 atrocity anger
## 842 842 atrocity disgust
## 843 843 atrocity fear
## 844 844 atrocity negative
## 845 845 atrocity sadness
## 846 846 atrophy disgust
## 847 847 atrophy fear
## 848 848 atrophy negative
## 849 849 atrophy sadness
## 850 850 attachment positive
## 851 851 attack anger
## 852 852 attack fear
## 853 853 attack negative
## 854 854 attacking anger
## 855 855 attacking disgust
## 856 856 attacking fear
## 857 857 attacking negative
## 858 858 attacking sadness
## 859 859 attacking surprise
## 860 860 attainable anticipation
## 861 861 attainable positive
## 862 862 attainment positive
## 863 863 attempt anticipation
## 864 864 attendance anticipation
## 865 865 attendant positive
## 866 866 attendant trust
## 867 867 attention positive
## 868 868 attentive positive
## 869 869 attentive trust
## 870 870 attenuated negative
## 871 871 attenuation negative
## 872 872 attenuation sadness
## 873 873 attest positive
## 874 874 attest trust
## 875 875 attestation trust
## 876 876 attorney anger
## 877 877 attorney fear
## 878 878 attorney positive
## 879 879 attorney trust
## 880 880 attraction positive
## 881 881 attractiveness positive
## 882 882 auction anticipation
## 883 883 audacity negative
## 884 884 audience anticipation
## 885 885 auditor fear
## 886 886 auditor trust
## 887 887 augment positive
## 888 888 august positive
## 889 889 aunt positive
## 890 890 aunt trust
## 891 891 aura positive
## 892 892 auspicious anticipation
## 893 893 auspicious joy
## 894 894 auspicious positive
## 895 895 austere fear
## 896 896 austere negative
## 897 897 austere sadness
## 898 898 austerity negative
## 899 899 authentic joy
## 900 900 authentic positive
## 901 901 authentic trust
## 902 902 authenticate trust
## 903 903 authentication trust
## 904 904 authenticity positive
## 905 905 authenticity trust
## 906 906 author positive
## 907 907 author trust
## 908 908 authoritative positive
## 909 909 authoritative trust
## 910 910 authority positive
## 911 911 authority trust
## 912 912 authorization positive
## 913 913 authorization trust
## 914 914 authorize trust
## 915 915 authorized positive
## 916 916 autocratic negative
## 917 917 automatic trust
## 918 918 autopsy disgust
## 919 919 autopsy fear
## 920 920 autopsy negative
## 921 921 autopsy sadness
## 922 922 avalanche fear
## 923 923 avalanche negative
## 924 924 avalanche sadness
## 925 925 avalanche surprise
## 926 926 avarice anger
## 927 927 avarice disgust
## 928 928 avarice negative
## 929 929 avatar positive
## 930 930 avenger anger
## 931 931 avenger negative
## 932 932 averse anger
## 933 933 averse disgust
## 934 934 averse fear
## 935 935 averse negative
## 936 936 aversion anger
## 937 937 aversion disgust
## 938 938 aversion fear
## 939 939 aversion negative
## 940 940 avoid fear
## 941 941 avoid negative
## 942 942 avoidance fear
## 943 943 avoidance negative
## 944 944 avoiding fear
## 945 945 await anticipation
## 946 946 award anticipation
## 947 947 award joy
## 948 948 award positive
## 949 949 award surprise
## 950 950 award trust
## 951 951 awful anger
## 952 952 awful disgust
## 953 953 awful fear
## 954 954 awful negative
## 955 955 awful sadness
## 956 956 awkwardness disgust
## 957 957 awkwardness negative
## 958 958 awry negative
## 959 959 axiom trust
## 960 960 axiomatic trust
## 961 961 ay positive
## 962 962 aye positive
## 963 963 babble negative
## 964 964 babbling negative
## 965 965 baboon disgust
## 966 966 baboon negative
## 967 967 baby joy
## 968 968 baby positive
## 969 969 babysitter trust
## 970 970 baccalaureate positive
## 971 971 backbone anger
## 972 972 backbone positive
## 973 973 backbone trust
## 974 974 backer trust
## 975 975 backward negative
## 976 976 backwards disgust
## 977 977 backwards negative
## 978 978 backwater negative
## 979 979 backwater sadness
## 980 980 bacteria disgust
## 981 981 bacteria fear
## 982 982 bacteria negative
## 983 983 bacteria sadness
## 984 984 bacterium disgust
## 985 985 bacterium fear
## 986 986 bacterium negative
## 987 987 bad anger
## 988 988 bad disgust
## 989 989 bad fear
## 990 990 bad negative
## 991 991 bad sadness
## 992 992 badge trust
## 993 993 badger anger
## 994 994 badger negative
## 995 995 badly negative
## 996 996 badly sadness
## 997 997 badness anger
## 998 998 badness disgust
## 999 999 badness fear
## 1000 1000 badness negative
## 1001 1001 bailiff fear
## 1002 1002 bailiff negative
## 1003 1003 bailiff trust
## 1004 1004 bait fear
## 1005 1005 bait negative
## 1006 1006 bait trust
## 1007 1007 balance positive
## 1008 1008 balanced positive
## 1009 1009 bale fear
## 1010 1010 bale negative
## 1011 1011 balk negative
## 1012 1012 ballad positive
## 1013 1013 ballet positive
## 1014 1014 ballot anticipation
## 1015 1015 ballot positive
## 1016 1016 ballot trust
## 1017 1017 balm anticipation
## 1018 1018 balm joy
## 1019 1019 balm negative
## 1020 1020 balm positive
## 1021 1021 balsam positive
## 1022 1022 ban negative
## 1023 1023 bandit negative
## 1024 1024 bane anger
## 1025 1025 bane disgust
## 1026 1026 bane fear
## 1027 1027 bane negative
## 1028 1028 bang anger
## 1029 1029 bang disgust
## 1030 1030 bang fear
## 1031 1031 bang negative
## 1032 1032 bang sadness
## 1033 1033 bang surprise
## 1034 1034 banger anger
## 1035 1035 banger anticipation
## 1036 1036 banger fear
## 1037 1037 banger negative
## 1038 1038 banger surprise
## 1039 1039 banish anger
## 1040 1040 banish disgust
## 1041 1041 banish fear
## 1042 1042 banish negative
## 1043 1043 banish sadness
## 1044 1044 banished anger
## 1045 1045 banished fear
## 1046 1046 banished negative
## 1047 1047 banished sadness
## 1048 1048 banishment anger
## 1049 1049 banishment disgust
## 1050 1050 banishment negative
## 1051 1051 banishment sadness
## 1052 1052 bank trust
## 1053 1053 banker trust
## 1054 1054 bankrupt fear
## 1055 1055 bankrupt negative
## 1056 1056 bankrupt sadness
## 1057 1057 bankruptcy anger
## 1058 1058 bankruptcy disgust
## 1059 1059 bankruptcy fear
## 1060 1060 bankruptcy negative
## 1061 1061 bankruptcy sadness
## 1062 1062 banquet anticipation
## 1063 1063 banquet joy
## 1064 1064 banquet positive
## 1065 1065 banshee anger
## 1066 1066 banshee disgust
## 1067 1067 banshee fear
## 1068 1068 banshee negative
## 1069 1069 banshee sadness
## 1070 1070 baptism positive
## 1071 1071 baptismal joy
## 1072 1072 baptismal positive
## 1073 1073 barb anger
## 1074 1074 barb negative
## 1075 1075 barbarian fear
## 1076 1076 barbarian negative
## 1077 1077 barbaric anger
## 1078 1078 barbaric disgust
## 1079 1079 barbaric fear
## 1080 1080 barbaric negative
## 1081 1081 barbarism negative
## 1082 1082 bard positive
## 1083 1083 barf disgust
## 1084 1084 bargain positive
## 1085 1085 bargain trust
## 1086 1086 bark anger
## 1087 1087 bark negative
## 1088 1088 barred negative
## 1089 1089 barren negative
## 1090 1090 barren sadness
## 1091 1091 barricade fear
## 1092 1092 barricade negative
## 1093 1093 barrier anger
## 1094 1094 barrier negative
## 1095 1095 barrow disgust
## 1096 1096 bartender trust
## 1097 1097 barter trust
## 1098 1098 base trust
## 1099 1099 baseless negative
## 1100 1100 basketball anticipation
## 1101 1101 basketball joy
## 1102 1102 basketball positive
## 1103 1103 bastard disgust
## 1104 1104 bastard negative
## 1105 1105 bastard sadness
## 1106 1106 bastion anger
## 1107 1107 bastion positive
## 1108 1108 bath positive
## 1109 1109 battalion anger
## 1110 1110 batter anger
## 1111 1111 batter fear
## 1112 1112 batter negative
## 1113 1113 battered fear
## 1114 1114 battered negative
## 1115 1115 battered sadness
## 1116 1116 battery anger
## 1117 1117 battery negative
## 1118 1118 battle anger
## 1119 1119 battle negative
## 1120 1120 battled anger
## 1121 1121 battled fear
## 1122 1122 battled negative
## 1123 1123 battled sadness
## 1124 1124 battlefield fear
## 1125 1125 battlefield negative
## 1126 1126 bawdy negative
## 1127 1127 bayonet anger
## 1128 1128 bayonet fear
## 1129 1129 bayonet negative
## 1130 1130 beach joy
## 1131 1131 beam joy
## 1132 1132 beam positive
## 1133 1133 beaming anticipation
## 1134 1134 beaming joy
## 1135 1135 beaming positive
## 1136 1136 bear anger
## 1137 1137 bear fear
## 1138 1138 bearer negative
## 1139 1139 bearish anger
## 1140 1140 bearish fear
## 1141 1141 beast anger
## 1142 1142 beast fear
## 1143 1143 beast negative
## 1144 1144 beastly disgust
## 1145 1145 beastly fear
## 1146 1146 beastly negative
## 1147 1147 beating anger
## 1148 1148 beating fear
## 1149 1149 beating negative
## 1150 1150 beating sadness
## 1151 1151 beautification joy
## 1152 1152 beautification positive
## 1153 1153 beautification trust
## 1154 1154 beautiful joy
## 1155 1155 beautiful positive
## 1156 1156 beautify joy
## 1157 1157 beautify positive
## 1158 1158 beauty joy
## 1159 1159 beauty positive
## 1160 1160 bedrock positive
## 1161 1161 bedrock trust
## 1162 1162 bee anger
## 1163 1163 bee fear
## 1164 1164 beer joy
## 1165 1165 beer positive
## 1166 1166 befall negative
## 1167 1167 befitting positive
## 1168 1168 befriend joy
## 1169 1169 befriend positive
## 1170 1170 befriend trust
## 1171 1171 beg negative
## 1172 1172 beg sadness
## 1173 1173 beggar negative
## 1174 1174 beggar sadness
## 1175 1175 begging negative
## 1176 1176 begun anticipation
## 1177 1177 behemoth fear
## 1178 1178 behemoth negative
## 1179 1179 beholden negative
## 1180 1180 belated negative
## 1181 1181 believed trust
## 1182 1182 believer trust
## 1183 1183 believing positive
## 1184 1184 believing trust
## 1185 1185 belittle anger
## 1186 1186 belittle disgust
## 1187 1187 belittle fear
## 1188 1188 belittle negative
## 1189 1189 belittle sadness
## 1190 1190 belligerent anger
## 1191 1191 belligerent fear
## 1192 1192 belligerent negative
## 1193 1193 bellows anger
## 1194 1194 belt anger
## 1195 1195 belt fear
## 1196 1196 belt negative
## 1197 1197 bender negative
## 1198 1198 benefactor positive
## 1199 1199 benefactor trust
## 1200 1200 beneficial positive
## 1201 1201 benefit positive
## 1202 1202 benevolence joy
## 1203 1203 benevolence positive
## 1204 1204 benevolence trust
## 1205 1205 benign joy
## 1206 1206 benign positive
## 1207 1207 bequest trust
## 1208 1208 bereaved negative
## 1209 1209 bereaved sadness
## 1210 1210 bereavement negative
## 1211 1211 bereavement sadness
## 1212 1212 bereft negative
## 1213 1213 berserk anger
## 1214 1214 berserk negative
## 1215 1215 berth positive
## 1216 1216 bestial disgust
## 1217 1217 bestial fear
## 1218 1218 bestial negative
## 1219 1219 betray anger
## 1220 1220 betray disgust
## 1221 1221 betray negative
## 1222 1222 betray sadness
## 1223 1223 betray surprise
## 1224 1224 betrayal anger
## 1225 1225 betrayal disgust
## 1226 1226 betrayal negative
## 1227 1227 betrayal sadness
## 1228 1228 betrothed anticipation
## 1229 1229 betrothed joy
## 1230 1230 betrothed positive
## 1231 1231 betrothed trust
## 1232 1232 betterment positive
## 1233 1233 beverage positive
## 1234 1234 beware anticipation
## 1235 1235 beware fear
## 1236 1236 beware negative
## 1237 1237 bewildered fear
## 1238 1238 bewildered negative
## 1239 1239 bewildered surprise
## 1240 1240 bewilderment fear
## 1241 1241 bewilderment surprise
## 1242 1242 bias anger
## 1243 1243 bias negative
## 1244 1244 biased negative
## 1245 1245 biblical positive
## 1246 1246 bickering anger
## 1247 1247 bickering disgust
## 1248 1248 bickering negative
## 1249 1249 biennial anticipation
## 1250 1250 bier fear
## 1251 1251 bier negative
## 1252 1252 bier sadness
## 1253 1253 bigot anger
## 1254 1254 bigot disgust
## 1255 1255 bigot fear
## 1256 1256 bigot negative
## 1257 1257 bigoted anger
## 1258 1258 bigoted disgust
## 1259 1259 bigoted fear
## 1260 1260 bigoted negative
## 1261 1261 bigoted sadness
## 1262 1262 bile anger
## 1263 1263 bile disgust
## 1264 1264 bile negative
## 1265 1265 bilingual positive
## 1266 1266 biopsy fear
## 1267 1267 biopsy negative
## 1268 1268 birch anger
## 1269 1269 birch disgust
## 1270 1270 birch fear
## 1271 1271 birch negative
## 1272 1272 birth anticipation
## 1273 1273 birth fear
## 1274 1274 birth joy
## 1275 1275 birth positive
## 1276 1276 birth trust
## 1277 1277 birthday anticipation
## 1278 1278 birthday joy
## 1279 1279 birthday positive
## 1280 1280 birthday surprise
## 1281 1281 birthplace anger
## 1282 1282 birthplace negative
## 1283 1283 bitch anger
## 1284 1284 bitch disgust
## 1285 1285 bitch fear
## 1286 1286 bitch negative
## 1287 1287 bitch sadness
## 1288 1288 bite negative
## 1289 1289 bitterly anger
## 1290 1290 bitterly disgust
## 1291 1291 bitterly negative
## 1292 1292 bitterly sadness
## 1293 1293 bitterness anger
## 1294 1294 bitterness disgust
## 1295 1295 bitterness negative
## 1296 1296 bitterness sadness
## 1297 1297 bizarre negative
## 1298 1298 bizarre surprise
## 1299 1299 blackjack negative
## 1300 1300 blackmail anger
## 1301 1301 blackmail fear
## 1302 1302 blackmail negative
## 1303 1303 blackness fear
## 1304 1304 blackness negative
## 1305 1305 blackness sadness
## 1306 1306 blame anger
## 1307 1307 blame disgust
## 1308 1308 blame negative
## 1309 1309 blameless positive
## 1310 1310 bland negative
## 1311 1311 blanket trust
## 1312 1312 blasphemous anger
## 1313 1313 blasphemous disgust
## 1314 1314 blasphemous negative
## 1315 1315 blasphemy anger
## 1316 1316 blasphemy negative
## 1317 1317 blast anger
## 1318 1318 blast fear
## 1319 1319 blast negative
## 1320 1320 blast surprise
## 1321 1321 blatant anger
## 1322 1322 blatant disgust
## 1323 1323 blatant negative
## 1324 1324 blather negative
## 1325 1325 blaze anger
## 1326 1326 blaze negative
## 1327 1327 bleak negative
## 1328 1328 bleak sadness
## 1329 1329 bleeding disgust
## 1330 1330 bleeding fear
## 1331 1331 bleeding negative
## 1332 1332 bleeding sadness
## 1333 1333 blemish anger
## 1334 1334 blemish disgust
## 1335 1335 blemish fear
## 1336 1336 blemish negative
## 1337 1337 blemish sadness
## 1338 1338 bless anticipation
## 1339 1339 bless joy
## 1340 1340 bless positive
## 1341 1341 bless trust
## 1342 1342 blessed joy
## 1343 1343 blessed positive
## 1344 1344 blessing anticipation
## 1345 1345 blessing joy
## 1346 1346 blessing positive
## 1347 1347 blessing trust
## 1348 1348 blessings anticipation
## 1349 1349 blessings joy
## 1350 1350 blessings positive
## 1351 1351 blessings surprise
## 1352 1352 blessings trust
## 1353 1353 blight disgust
## 1354 1354 blight fear
## 1355 1355 blight negative
## 1356 1356 blight sadness
## 1357 1357 blighted disgust
## 1358 1358 blighted negative
## 1359 1359 blighted sadness
## 1360 1360 blinded negative
## 1361 1361 blindfold anticipation
## 1362 1362 blindfold fear
## 1363 1363 blindfold surprise
## 1364 1364 blindly negative
## 1365 1365 blindly sadness
## 1366 1366 blindness negative
## 1367 1367 blindness sadness
## 1368 1368 bliss joy
## 1369 1369 bliss positive
## 1370 1370 blissful joy
## 1371 1371 blissful positive
## 1372 1372 blister disgust
## 1373 1373 blister negative
## 1374 1374 blitz surprise
## 1375 1375 bloated disgust
## 1376 1376 bloated negative
## 1377 1377 blob disgust
## 1378 1378 blob fear
## 1379 1379 blob negative
## 1380 1380 blockade anger
## 1381 1381 blockade fear
## 1382 1382 blockade negative
## 1383 1383 blockade sadness
## 1384 1384 bloodless positive
## 1385 1385 bloodshed anger
## 1386 1386 bloodshed disgust
## 1387 1387 bloodshed fear
## 1388 1388 bloodshed negative
## 1389 1389 bloodshed sadness
## 1390 1390 bloodshed surprise
## 1391 1391 bloodthirsty anger
## 1392 1392 bloodthirsty disgust
## 1393 1393 bloodthirsty fear
## 1394 1394 bloodthirsty negative
## 1395 1395 bloody anger
## 1396 1396 bloody disgust
## 1397 1397 bloody fear
## 1398 1398 bloody negative
## 1399 1399 bloody sadness
## 1400 1400 bloom anticipation
## 1401 1401 bloom joy
## 1402 1402 bloom positive
## 1403 1403 bloom trust
## 1404 1404 blossom joy
## 1405 1405 blossom positive
## 1406 1406 blot negative
## 1407 1407 blower negative
## 1408 1408 blowout negative
## 1409 1409 blue sadness
## 1410 1410 blues fear
## 1411 1411 blues negative
## 1412 1412 blues sadness
## 1413 1413 bluff negative
## 1414 1414 blunder disgust
## 1415 1415 blunder negative
## 1416 1416 blunder sadness
## 1417 1417 blur negative
## 1418 1418 blurred negative
## 1419 1419 blush negative
## 1420 1420 board anticipation
## 1421 1421 boast negative
## 1422 1422 boast positive
## 1423 1423 boasting negative
## 1424 1424 bodyguard positive
## 1425 1425 bodyguard trust
## 1426 1426 bog negative
## 1427 1427 bogus anger
## 1428 1428 bogus disgust
## 1429 1429 bogus negative
## 1430 1430 boil disgust
## 1431 1431 boil negative
## 1432 1432 boilerplate negative
## 1433 1433 boisterous anger
## 1434 1434 boisterous anticipation
## 1435 1435 boisterous joy
## 1436 1436 boisterous negative
## 1437 1437 boisterous positive
## 1438 1438 bold positive
## 1439 1439 boldness positive
## 1440 1440 bolster positive
## 1441 1441 bomb anger
## 1442 1442 bomb fear
## 1443 1443 bomb negative
## 1444 1444 bomb sadness
## 1445 1445 bomb surprise
## 1446 1446 bombard anger
## 1447 1447 bombard fear
## 1448 1448 bombard negative
## 1449 1449 bombardment anger
## 1450 1450 bombardment fear
## 1451 1451 bombardment negative
## 1452 1452 bombed disgust
## 1453 1453 bombed negative
## 1454 1454 bomber fear
## 1455 1455 bomber sadness
## 1456 1456 bonanza joy
## 1457 1457 bonanza positive
## 1458 1458 bondage fear
## 1459 1459 bondage negative
## 1460 1460 bondage sadness
## 1461 1461 bonds negative
## 1462 1462 bonne positive
## 1463 1463 bonus anticipation
## 1464 1464 bonus joy
## 1465 1465 bonus positive
## 1466 1466 bonus surprise
## 1467 1467 boo negative
## 1468 1468 booby negative
## 1469 1469 bookish positive
## 1470 1470 bookshop positive
## 1471 1471 bookworm negative
## 1472 1472 bookworm positive
## 1473 1473 boomerang anticipation
## 1474 1474 boomerang trust
## 1475 1475 boon positive
## 1476 1476 booze negative
## 1477 1477 bore negative
## 1478 1478 boredom negative
## 1479 1479 boredom sadness
## 1480 1480 boring negative
## 1481 1481 borrower negative
## 1482 1482 bother negative
## 1483 1483 bothering anger
## 1484 1484 bothering negative
## 1485 1485 bothering sadness
## 1486 1486 bottom negative
## 1487 1487 bottom sadness
## 1488 1488 bottomless fear
## 1489 1489 bound negative
## 1490 1490 bountiful anticipation
## 1491 1491 bountiful joy
## 1492 1492 bountiful positive
## 1493 1493 bounty anticipation
## 1494 1494 bounty joy
## 1495 1495 bounty positive
## 1496 1496 bounty trust
## 1497 1497 bouquet joy
## 1498 1498 bouquet positive
## 1499 1499 bouquet trust
## 1500 1500 bout anger
## 1501 1501 bout negative
## 1502 1502 bovine disgust
## 1503 1503 bovine negative
## 1504 1504 bowels disgust
## 1505 1505 boxing anger
## 1506 1506 boycott negative
## 1507 1507 brag negative
## 1508 1508 brains positive
## 1509 1509 bran disgust
## 1510 1510 brandy negative
## 1511 1511 bravado negative
## 1512 1512 bravery positive
## 1513 1513 brawl anger
## 1514 1514 brawl disgust
## 1515 1515 brawl fear
## 1516 1516 brawl negative
## 1517 1517 brazen anger
## 1518 1518 brazen negative
## 1519 1519 breach negative
## 1520 1520 break surprise
## 1521 1521 breakdown negative
## 1522 1522 breakfast positive
## 1523 1523 breakneck negative
## 1524 1524 breakup negative
## 1525 1525 breakup sadness
## 1526 1526 bribe negative
## 1527 1527 bribery disgust
## 1528 1528 bribery negative
## 1529 1529 bridal anticipation
## 1530 1530 bridal joy
## 1531 1531 bridal positive
## 1532 1532 bridal trust
## 1533 1533 bride anticipation
## 1534 1534 bride joy
## 1535 1535 bride positive
## 1536 1536 bride trust
## 1537 1537 bridegroom anticipation
## 1538 1538 bridegroom joy
## 1539 1539 bridegroom positive
## 1540 1540 bridegroom trust
## 1541 1541 bridesmaid joy
## 1542 1542 bridesmaid positive
## 1543 1543 bridesmaid trust
## 1544 1544 brigade fear
## 1545 1545 brigade negative
## 1546 1546 brighten joy
## 1547 1547 brighten positive
## 1548 1548 brighten surprise
## 1549 1549 brighten trust
## 1550 1550 brightness positive
## 1551 1551 brilliant anticipation
## 1552 1552 brilliant joy
## 1553 1553 brilliant positive
## 1554 1554 brilliant trust
## 1555 1555 brimstone anger
## 1556 1556 brimstone fear
## 1557 1557 brimstone negative
## 1558 1558 bristle negative
## 1559 1559 broadside anticipation
## 1560 1560 broadside negative
## 1561 1561 brocade positive
## 1562 1562 broil anger
## 1563 1563 broil negative
## 1564 1564 broke fear
## 1565 1565 broke negative
## 1566 1566 broke sadness
## 1567 1567 broken anger
## 1568 1568 broken fear
## 1569 1569 broken negative
## 1570 1570 broken sadness
## 1571 1571 brothel disgust
## 1572 1572 brothel negative
## 1573 1573 brother positive
## 1574 1574 brother trust
## 1575 1575 brotherhood positive
## 1576 1576 brotherhood trust
## 1577 1577 brotherly anticipation
## 1578 1578 brotherly joy
## 1579 1579 brotherly positive
## 1580 1580 brotherly trust
## 1581 1581 bruise anticipation
## 1582 1582 bruise negative
## 1583 1583 brunt anger
## 1584 1584 brunt negative
## 1585 1585 brutal anger
## 1586 1586 brutal fear
## 1587 1587 brutal negative
## 1588 1588 brutality anger
## 1589 1589 brutality fear
## 1590 1590 brutality negative
## 1591 1591 brute anger
## 1592 1592 brute fear
## 1593 1593 brute negative
## 1594 1594 brute sadness
## 1595 1595 buck fear
## 1596 1596 buck negative
## 1597 1597 buck positive
## 1598 1598 buck surprise
## 1599 1599 buddy anticipation
## 1600 1600 buddy joy
## 1601 1601 buddy positive
## 1602 1602 buddy trust
## 1603 1603 budget trust
## 1604 1604 buffet anger
## 1605 1605 buffet negative
## 1606 1606 bug disgust
## 1607 1607 bug fear
## 1608 1608 bug negative
## 1609 1609 bugaboo anger
## 1610 1610 bugaboo fear
## 1611 1611 bugaboo negative
## 1612 1612 bugaboo sadness
## 1613 1613 bugle anticipation
## 1614 1614 build positive
## 1615 1615 building positive
## 1616 1616 bulbous negative
## 1617 1617 bulldog positive
## 1618 1618 bulletproof positive
## 1619 1619 bully anger
## 1620 1620 bully fear
## 1621 1621 bully negative
## 1622 1622 bum disgust
## 1623 1623 bum negative
## 1624 1624 bum sadness
## 1625 1625 bummer anger
## 1626 1626 bummer disgust
## 1627 1627 bummer negative
## 1628 1628 bunker fear
## 1629 1629 buoy positive
## 1630 1630 burdensome fear
## 1631 1631 burdensome negative
## 1632 1632 burdensome sadness
## 1633 1633 bureaucracy negative
## 1634 1634 bureaucracy trust
## 1635 1635 bureaucrat disgust
## 1636 1636 bureaucrat negative
## 1637 1637 burglar disgust
## 1638 1638 burglar fear
## 1639 1639 burglar negative
## 1640 1640 burglary negative
## 1641 1641 burial anger
## 1642 1642 burial fear
## 1643 1643 burial negative
## 1644 1644 burial sadness
## 1645 1645 buried fear
## 1646 1646 buried negative
## 1647 1647 buried sadness
## 1648 1648 burke anger
## 1649 1649 burke disgust
## 1650 1650 burke fear
## 1651 1651 burke negative
## 1652 1652 burke sadness
## 1653 1653 burlesque surprise
## 1654 1654 burnt disgust
## 1655 1655 burnt negative
## 1656 1656 bursary trust
## 1657 1657 bury sadness
## 1658 1658 buss joy
## 1659 1659 buss positive
## 1660 1660 busted anger
## 1661 1661 busted fear
## 1662 1662 busted negative
## 1663 1663 butcher anger
## 1664 1664 butcher disgust
## 1665 1665 butcher fear
## 1666 1666 butcher negative
## 1667 1667 butler positive
## 1668 1668 butler trust
## 1669 1669 butt negative
## 1670 1670 buttery positive
## 1671 1671 buxom positive
## 1672 1672 buzz anticipation
## 1673 1673 buzz fear
## 1674 1674 buzz positive
## 1675 1675 buzzed negative
## 1676 1676 bye anticipation
## 1677 1677 bylaw trust
## 1678 1678 cab positive
## 1679 1679 cabal fear
## 1680 1680 cabal negative
## 1681 1681 cabinet positive
## 1682 1682 cabinet trust
## 1683 1683 cable surprise
## 1684 1684 cacophony anger
## 1685 1685 cacophony disgust
## 1686 1686 cacophony negative
## 1687 1687 cad anger
## 1688 1688 cad disgust
## 1689 1689 cad negative
## 1690 1690 cadaver disgust
## 1691 1691 cadaver fear
## 1692 1692 cadaver negative
## 1693 1693 cadaver sadness
## 1694 1694 cadaver surprise
## 1695 1695 cafe positive
## 1696 1696 cage negative
## 1697 1697 cage sadness
## 1698 1698 calamity sadness
## 1699 1699 calculating negative
## 1700 1700 calculation anticipation
## 1701 1701 calculator positive
## 1702 1702 calculator trust
## 1703 1703 calf joy
## 1704 1704 calf positive
## 1705 1705 calf trust
## 1706 1706 callous anger
## 1707 1707 callous disgust
## 1708 1708 callous negative
## 1709 1709 calls anticipation
## 1710 1710 calls negative
## 1711 1711 calls trust
## 1712 1712 calm positive
## 1713 1713 camouflage surprise
## 1714 1714 camouflaged surprise
## 1715 1715 campaigning anger
## 1716 1716 campaigning fear
## 1717 1717 campaigning negative
## 1718 1718 canary positive
## 1719 1719 cancel negative
## 1720 1720 cancel sadness
## 1721 1721 cancer anger
## 1722 1722 cancer disgust
## 1723 1723 cancer fear
## 1724 1724 cancer negative
## 1725 1725 cancer sadness
## 1726 1726 candid anticipation
## 1727 1727 candid joy
## 1728 1728 candid positive
## 1729 1729 candid surprise
## 1730 1730 candid trust
## 1731 1731 candidate positive
## 1732 1732 candied positive
## 1733 1733 cane anger
## 1734 1734 cane fear
## 1735 1735 canker anger
## 1736 1736 canker disgust
## 1737 1737 canker negative
## 1738 1738 cannibal disgust
## 1739 1739 cannibal fear
## 1740 1740 cannibal negative
## 1741 1741 cannibalism disgust
## 1742 1742 cannibalism negative
## 1743 1743 cannon anger
## 1744 1744 cannon fear
## 1745 1745 cannon negative
## 1746 1746 canons trust
## 1747 1747 cap anticipation
## 1748 1748 cap trust
## 1749 1749 capitalist positive
## 1750 1750 captain positive
## 1751 1751 captivate anticipation
## 1752 1752 captivate joy
## 1753 1753 captivate positive
## 1754 1754 captivate surprise
## 1755 1755 captivate trust
## 1756 1756 captivating positive
## 1757 1757 captive fear
## 1758 1758 captive negative
## 1759 1759 captive sadness
## 1760 1760 captivity negative
## 1761 1761 captivity sadness
## 1762 1762 captor fear
## 1763 1763 captor negative
## 1764 1764 capture negative
## 1765 1765 carcass disgust
## 1766 1766 carcass fear
## 1767 1767 carcass negative
## 1768 1768 carcass sadness
## 1769 1769 carcinoma fear
## 1770 1770 carcinoma negative
## 1771 1771 carcinoma sadness
## 1772 1772 cardiomyopathy fear
## 1773 1773 cardiomyopathy negative
## 1774 1774 cardiomyopathy sadness
## 1775 1775 career anticipation
## 1776 1776 career positive
## 1777 1777 careful positive
## 1778 1778 carefully positive
## 1779 1779 carelessness anger
## 1780 1780 carelessness disgust
## 1781 1781 carelessness negative
## 1782 1782 caress positive
## 1783 1783 caretaker positive
## 1784 1784 caretaker trust
## 1785 1785 caricature negative
## 1786 1786 caries disgust
## 1787 1787 caries negative
## 1788 1788 carnage anger
## 1789 1789 carnage disgust
## 1790 1790 carnage fear
## 1791 1791 carnage negative
## 1792 1792 carnage sadness
## 1793 1793 carnage surprise
## 1794 1794 carnal negative
## 1795 1795 carnivorous fear
## 1796 1796 carnivorous negative
## 1797 1797 carol joy
## 1798 1798 carol positive
## 1799 1799 carol trust
## 1800 1800 cartel negative
## 1801 1801 cartridge fear
## 1802 1802 cascade positive
## 1803 1803 case fear
## 1804 1804 case negative
## 1805 1805 case sadness
## 1806 1806 cash anger
## 1807 1807 cash anticipation
## 1808 1808 cash fear
## 1809 1809 cash joy
## 1810 1810 cash positive
## 1811 1811 cash trust
## 1812 1812 cashier trust
## 1813 1813 casket fear
## 1814 1814 casket negative
## 1815 1815 casket sadness
## 1816 1816 caste negative
## 1817 1817 casualty anger
## 1818 1818 casualty fear
## 1819 1819 casualty negative
## 1820 1820 casualty sadness
## 1821 1821 cataract anticipation
## 1822 1822 cataract fear
## 1823 1823 cataract negative
## 1824 1824 cataract sadness
## 1825 1825 catastrophe anger
## 1826 1826 catastrophe disgust
## 1827 1827 catastrophe fear
## 1828 1828 catastrophe negative
## 1829 1829 catastrophe sadness
## 1830 1830 catastrophe surprise
## 1831 1831 catch surprise
## 1832 1832 catechism disgust
## 1833 1833 categorical positive
## 1834 1834 cater positive
## 1835 1835 cathartic positive
## 1836 1836 cathedral joy
## 1837 1837 cathedral positive
## 1838 1838 cathedral trust
## 1839 1839 catheter negative
## 1840 1840 caution anger
## 1841 1841 caution anticipation
## 1842 1842 caution fear
## 1843 1843 caution negative
## 1844 1844 cautionary fear
## 1845 1845 cautious anticipation
## 1846 1846 cautious fear
## 1847 1847 cautious positive
## 1848 1848 cautious trust
## 1849 1849 cautiously fear
## 1850 1850 cautiously positive
## 1851 1851 cede negative
## 1852 1852 celebrated anticipation
## 1853 1853 celebrated joy
## 1854 1854 celebrated positive
## 1855 1855 celebrating anticipation
## 1856 1856 celebrating joy
## 1857 1857 celebrating positive
## 1858 1858 celebration anticipation
## 1859 1859 celebration joy
## 1860 1860 celebration positive
## 1861 1861 celebration surprise
## 1862 1862 celebration trust
## 1863 1863 celebrity anger
## 1864 1864 celebrity anticipation
## 1865 1865 celebrity disgust
## 1866 1866 celebrity joy
## 1867 1867 celebrity negative
## 1868 1868 celebrity positive
## 1869 1869 celebrity surprise
## 1870 1870 celebrity trust
## 1871 1871 celestial anticipation
## 1872 1872 celestial joy
## 1873 1873 celestial positive
## 1874 1874 cement anticipation
## 1875 1875 cement trust
## 1876 1876 cemetery fear
## 1877 1877 cemetery negative
## 1878 1878 cemetery sadness
## 1879 1879 censor anger
## 1880 1880 censor disgust
## 1881 1881 censor fear
## 1882 1882 censor negative
## 1883 1883 censor trust
## 1884 1884 censure negative
## 1885 1885 center positive
## 1886 1886 center trust
## 1887 1887 centurion positive
## 1888 1888 cerebral positive
## 1889 1889 ceremony joy
## 1890 1890 ceremony positive
## 1891 1891 ceremony surprise
## 1892 1892 certainty positive
## 1893 1893 certify trust
## 1894 1894 cess disgust
## 1895 1895 cess negative
## 1896 1896 cessation negative
## 1897 1897 chaff anger
## 1898 1898 chaff fear
## 1899 1899 chaff negative
## 1900 1900 chafing negative
## 1901 1901 chagrin disgust
## 1902 1902 chagrin negative
## 1903 1903 chagrin sadness
## 1904 1904 chairman positive
## 1905 1905 chairman trust
## 1906 1906 chairwoman positive
## 1907 1907 chairwoman trust
## 1908 1908 challenge anger
## 1909 1909 challenge fear
## 1910 1910 challenge negative
## 1911 1911 champion anticipation
## 1912 1912 champion joy
## 1913 1913 champion positive
## 1914 1914 champion trust
## 1915 1915 chance surprise
## 1916 1916 chancellor trust
## 1917 1917 change fear
## 1918 1918 changeable anticipation
## 1919 1919 changeable surprise
## 1920 1920 chant anger
## 1921 1921 chant anticipation
## 1922 1922 chant joy
## 1923 1923 chant positive
## 1924 1924 chant surprise
## 1925 1925 chaos anger
## 1926 1926 chaos fear
## 1927 1927 chaos negative
## 1928 1928 chaos sadness
## 1929 1929 chaotic anger
## 1930 1930 chaotic negative
## 1931 1931 chaplain trust
## 1932 1932 charade negative
## 1933 1933 chargeable fear
## 1934 1934 chargeable negative
## 1935 1935 chargeable sadness
## 1936 1936 charger positive
## 1937 1937 charitable anticipation
## 1938 1938 charitable joy
## 1939 1939 charitable positive
## 1940 1940 charitable trust
## 1941 1941 charity joy
## 1942 1942 charity positive
## 1943 1943 charm positive
## 1944 1944 charmed joy
## 1945 1945 charmed negative
## 1946 1946 charmed positive
## 1947 1947 charming positive
## 1948 1948 chart trust
## 1949 1949 chase negative
## 1950 1950 chasm fear
## 1951 1951 chastisement negative
## 1952 1952 chastity anticipation
## 1953 1953 chastity positive
## 1954 1954 chastity trust
## 1955 1955 chattering positive
## 1956 1956 chatty negative
## 1957 1957 cheap negative
## 1958 1958 cheat anger
## 1959 1959 cheat disgust
## 1960 1960 cheat negative
## 1961 1961 checklist positive
## 1962 1962 checklist trust
## 1963 1963 cheer anticipation
## 1964 1964 cheer joy
## 1965 1965 cheer positive
## 1966 1966 cheer surprise
## 1967 1967 cheer trust
## 1968 1968 cheerful joy
## 1969 1969 cheerful positive
## 1970 1970 cheerful surprise
## 1971 1971 cheerfulness anticipation
## 1972 1972 cheerfulness joy
## 1973 1973 cheerfulness positive
## 1974 1974 cheerfulness trust
## 1975 1975 cheering joy
## 1976 1976 cheering positive
## 1977 1977 cheery anticipation
## 1978 1978 cheery joy
## 1979 1979 cheery positive
## 1980 1980 cheesecake negative
## 1981 1981 chemist positive
## 1982 1982 chemist trust
## 1983 1983 cherish anticipation
## 1984 1984 cherish joy
## 1985 1985 cherish positive
## 1986 1986 cherish surprise
## 1987 1987 cherish trust
## 1988 1988 cherry positive
## 1989 1989 chicane anticipation
## 1990 1990 chicane negative
## 1991 1991 chicane surprise
## 1992 1992 chicane trust
## 1993 1993 chicken fear
## 1994 1994 chieftain positive
## 1995 1995 child anticipation
## 1996 1996 child joy
## 1997 1997 child positive
## 1998 1998 childhood joy
## 1999 1999 childhood positive
## 2000 2000 childish negative
## 2001 2001 chilly negative
## 2002 2002 chimera fear
## 2003 2003 chimera surprise
## 2004 2004 chirp joy
## 2005 2005 chirp positive
## 2006 2006 chisel positive
## 2007 2007 chivalry positive
## 2008 2008 chloroform negative
## 2009 2009 chocolate anticipation
## 2010 2010 chocolate joy
## 2011 2011 chocolate positive
## 2012 2012 chocolate trust
## 2013 2013 choice positive
## 2014 2014 choir joy
## 2015 2015 choir positive
## 2016 2016 choir trust
## 2017 2017 choke anger
## 2018 2018 choke negative
## 2019 2019 choke sadness
## 2020 2020 cholera disgust
## 2021 2021 cholera fear
## 2022 2022 cholera negative
## 2023 2023 cholera sadness
## 2024 2024 chop negative
## 2025 2025 choral joy
## 2026 2026 choral positive
## 2027 2027 chore negative
## 2028 2028 chorus positive
## 2029 2029 chosen positive
## 2030 2030 chowder positive
## 2031 2031 chronic negative
## 2032 2032 chronic sadness
## 2033 2033 chronicle positive
## 2034 2034 chronicle trust
## 2035 2035 chuckle anticipation
## 2036 2036 chuckle joy
## 2037 2037 chuckle positive
## 2038 2038 chuckle surprise
## 2039 2039 chuckle trust
## 2040 2040 church anticipation
## 2041 2041 church joy
## 2042 2042 church positive
## 2043 2043 church trust
## 2044 2044 cider positive
## 2045 2045 cigarette negative
## 2046 2046 circumcision positive
## 2047 2047 circumvention negative
## 2048 2048 circumvention positive
## 2049 2049 citizen positive
## 2050 2050 civil positive
## 2051 2051 civility positive
## 2052 2052 civilization positive
## 2053 2053 civilization trust
## 2054 2054 civilized joy
## 2055 2055 civilized positive
## 2056 2056 civilized trust
## 2057 2057 claimant anger
## 2058 2058 claimant disgust
## 2059 2059 clairvoyant positive
## 2060 2060 clamor anger
## 2061 2061 clamor anticipation
## 2062 2062 clamor disgust
## 2063 2063 clamor negative
## 2064 2064 clamor surprise
## 2065 2065 clan trust
## 2066 2066 clap anticipation
## 2067 2067 clap joy
## 2068 2068 clap positive
## 2069 2069 clap trust
## 2070 2070 clarify positive
## 2071 2071 clash anger
## 2072 2072 clash negative
## 2073 2073 clashing anger
## 2074 2074 clashing fear
## 2075 2075 clashing negative
## 2076 2076 classic positive
## 2077 2077 classical positive
## 2078 2078 classics joy
## 2079 2079 classics positive
## 2080 2080 classify positive
## 2081 2081 claw anger
## 2082 2082 claw fear
## 2083 2083 claw negative
## 2084 2084 clean joy
## 2085 2085 clean positive
## 2086 2086 clean trust
## 2087 2087 cleaning positive
## 2088 2088 cleanliness positive
## 2089 2089 cleanly positive
## 2090 2090 cleanse positive
## 2091 2091 cleansing positive
## 2092 2092 clearance positive
## 2093 2093 clearance trust
## 2094 2094 clearness positive
## 2095 2095 cleave fear
## 2096 2096 clerical positive
## 2097 2097 clerical trust
## 2098 2098 clever positive
## 2099 2099 cleverness positive
## 2100 2100 cliff fear
## 2101 2101 climax anticipation
## 2102 2102 climax joy
## 2103 2103 climax positive
## 2104 2104 climax surprise
## 2105 2105 climax trust
## 2106 2106 clock anticipation
## 2107 2107 cloister negative
## 2108 2108 closeness joy
## 2109 2109 closeness positive
## 2110 2110 closeness trust
## 2111 2111 closure anticipation
## 2112 2112 closure joy
## 2113 2113 closure positive
## 2114 2114 closure sadness
## 2115 2115 clothe positive
## 2116 2116 clouded negative
## 2117 2117 clouded sadness
## 2118 2118 cloudiness fear
## 2119 2119 cloudiness negative
## 2120 2120 cloudy sadness
## 2121 2121 clown anticipation
## 2122 2122 clown joy
## 2123 2123 clown positive
## 2124 2124 clown surprise
## 2125 2125 clue anticipation
## 2126 2126 clump negative
## 2127 2127 clumsy disgust
## 2128 2128 clumsy negative
## 2129 2129 coach trust
## 2130 2130 coalesce trust
## 2131 2131 coalition positive
## 2132 2132 coast positive
## 2133 2133 coax trust
## 2134 2134 cobra fear
## 2135 2135 cocaine negative
## 2136 2136 cocaine sadness
## 2137 2137 coerce anger
## 2138 2138 coerce disgust
## 2139 2139 coerce fear
## 2140 2140 coerce negative
## 2141 2141 coercion anger
## 2142 2142 coercion disgust
## 2143 2143 coercion fear
## 2144 2144 coercion negative
## 2145 2145 coercion sadness
## 2146 2146 coexist positive
## 2147 2147 coexist trust
## 2148 2148 coexisting trust
## 2149 2149 coffin fear
## 2150 2150 coffin negative
## 2151 2151 coffin sadness
## 2152 2152 cogent positive
## 2153 2153 cogent trust
## 2154 2154 cognitive positive
## 2155 2155 coherence positive
## 2156 2156 coherent positive
## 2157 2157 cohesion trust
## 2158 2158 cohesive positive
## 2159 2159 cohesive trust
## 2160 2160 coincidence surprise
## 2161 2161 cold negative
## 2162 2162 coldly negative
## 2163 2163 coldness anger
## 2164 2164 coldness disgust
## 2165 2165 coldness fear
## 2166 2166 coldness negative
## 2167 2167 coldness sadness
## 2168 2168 colic negative
## 2169 2169 collaborator trust
## 2170 2170 collapse disgust
## 2171 2171 collapse fear
## 2172 2172 collapse negative
## 2173 2173 collapse sadness
## 2174 2174 collateral trust
## 2175 2175 collectively positive
## 2176 2176 collectively trust
## 2177 2177 collision anger
## 2178 2178 collision negative
## 2179 2179 collusion anger
## 2180 2180 collusion disgust
## 2181 2181 collusion fear
## 2182 2182 collusion negative
## 2183 2183 collusion sadness
## 2184 2184 colonel positive
## 2185 2185 colonel trust
## 2186 2186 colossal positive
## 2187 2187 coma fear
## 2188 2188 coma negative
## 2189 2189 coma sadness
## 2190 2190 comatose fear
## 2191 2191 comatose negative
## 2192 2192 comatose sadness
## 2193 2193 combat anger
## 2194 2194 combat fear
## 2195 2195 combat negative
## 2196 2196 combatant anger
## 2197 2197 combatant fear
## 2198 2198 combatant negative
## 2199 2199 combative anger
## 2200 2200 combative fear
## 2201 2201 combative negative
## 2202 2202 comfort anticipation
## 2203 2203 comfort joy
## 2204 2204 comfort positive
## 2205 2205 comfort trust
## 2206 2206 coming anticipation
## 2207 2207 commandant positive
## 2208 2208 commandant trust
## 2209 2209 commanding positive
## 2210 2210 commanding trust
## 2211 2211 commemorate anticipation
## 2212 2212 commemorate joy
## 2213 2213 commemorate positive
## 2214 2214 commemorate sadness
## 2215 2215 commemoration anticipation
## 2216 2216 commemoration joy
## 2217 2217 commemoration positive
## 2218 2218 commemorative anticipation
## 2219 2219 commemorative positive
## 2220 2220 commend positive
## 2221 2221 commendable joy
## 2222 2222 commendable positive
## 2223 2223 commendable trust
## 2224 2224 commentator positive
## 2225 2225 commerce trust
## 2226 2226 commission trust
## 2227 2227 committal negative
## 2228 2228 committal sadness
## 2229 2229 committed positive
## 2230 2230 committed trust
## 2231 2231 committee trust
## 2232 2232 commodore positive
## 2233 2233 commodore trust
## 2234 2234 commonplace anticipation
## 2235 2235 commonplace trust
## 2236 2236 commonwealth positive
## 2237 2237 commonwealth trust
## 2238 2238 commotion anger
## 2239 2239 commotion negative
## 2240 2240 communicate positive
## 2241 2241 communicate trust
## 2242 2242 communication trust
## 2243 2243 communicative positive
## 2244 2244 communion joy
## 2245 2245 communion positive
## 2246 2246 communion trust
## 2247 2247 communism anger
## 2248 2248 communism fear
## 2249 2249 communism negative
## 2250 2250 communism sadness
## 2251 2251 communist negative
## 2252 2252 community positive
## 2253 2253 commutation positive
## 2254 2254 commute positive
## 2255 2255 compact trust
## 2256 2256 companion joy
## 2257 2257 companion positive
## 2258 2258 companion trust
## 2259 2259 compass trust
## 2260 2260 compassion fear
## 2261 2261 compassion positive
## 2262 2262 compassionate positive
## 2263 2263 compatibility positive
## 2264 2264 compatible positive
## 2265 2265 compelling positive
## 2266 2266 compensate anticipation
## 2267 2267 compensate joy
## 2268 2268 compensate positive
## 2269 2269 compensate surprise
## 2270 2270 compensate trust
## 2271 2271 compensatory positive
## 2272 2272 competence positive
## 2273 2273 competence trust
## 2274 2274 competency positive
## 2275 2275 competency trust
## 2276 2276 competent positive
## 2277 2277 competent trust
## 2278 2278 competition anticipation
## 2279 2279 competition negative
## 2280 2280 complacency positive
## 2281 2281 complain anger
## 2282 2282 complain negative
## 2283 2283 complain sadness
## 2284 2284 complaint anger
## 2285 2285 complaint negative
## 2286 2286 complement anticipation
## 2287 2287 complement joy
## 2288 2288 complement positive
## 2289 2289 complement surprise
## 2290 2290 complement trust
## 2291 2291 complementary positive
## 2292 2292 completely positive
## 2293 2293 completeness positive
## 2294 2294 completing anticipation
## 2295 2295 completing joy
## 2296 2296 completing positive
## 2297 2297 completion anticipation
## 2298 2298 completion joy
## 2299 2299 completion positive
## 2300 2300 complexed negative
## 2301 2301 complexity negative
## 2302 2302 compliance positive
## 2303 2303 compliance trust
## 2304 2304 compliant positive
## 2305 2305 complicate anger
## 2306 2306 complicate negative
## 2307 2307 complicated negative
## 2308 2308 complication negative
## 2309 2309 complicity negative
## 2310 2310 complicity positive
## 2311 2311 compliment anticipation
## 2312 2312 compliment joy
## 2313 2313 compliment positive
## 2314 2314 compliment surprise
## 2315 2315 compliment trust
## 2316 2316 composed positive
## 2317 2317 composer positive
## 2318 2318 compost disgust
## 2319 2319 compost negative
## 2320 2320 composure positive
## 2321 2321 comprehend positive
## 2322 2322 comprehensive positive
## 2323 2323 compress anger
## 2324 2324 comptroller trust
## 2325 2325 compulsion anger
## 2326 2326 compulsion negative
## 2327 2327 compulsory negative
## 2328 2328 comrade positive
## 2329 2329 comrade trust
## 2330 2330 conceal negative
## 2331 2331 conceal sadness
## 2332 2332 concealed anticipation
## 2333 2333 concealed fear
## 2334 2334 concealed negative
## 2335 2335 concealed surprise
## 2336 2336 concealment anger
## 2337 2337 concealment anticipation
## 2338 2338 concealment fear
## 2339 2339 concealment negative
## 2340 2340 conceit negative
## 2341 2341 conceited negative
## 2342 2342 concentric positive
## 2343 2343 concerned fear
## 2344 2344 concerned sadness
## 2345 2345 conciliation joy
## 2346 2346 conciliation positive
## 2347 2347 conciliation trust
## 2348 2348 concluding positive
## 2349 2349 concord positive
## 2350 2350 concord trust
## 2351 2351 concordance positive
## 2352 2352 concordance trust
## 2353 2353 concussion anger
## 2354 2354 concussion negative
## 2355 2355 concussion sadness
## 2356 2356 condemn anger
## 2357 2357 condemn negative
## 2358 2358 condemnation anger
## 2359 2359 condemnation anticipation
## 2360 2360 condemnation disgust
## 2361 2361 condemnation fear
## 2362 2362 condemnation negative
## 2363 2363 condemnation sadness
## 2364 2364 condescending negative
## 2365 2365 condescension anger
## 2366 2366 condescension disgust
## 2367 2367 condescension negative
## 2368 2368 condescension sadness
## 2369 2369 condolence positive
## 2370 2370 condolence sadness
## 2371 2371 condone positive
## 2372 2372 conducive positive
## 2373 2373 conductivity positive
## 2374 2374 confederate positive
## 2375 2375 confederate trust
## 2376 2376 confess negative
## 2377 2377 confess positive
## 2378 2378 confess trust
## 2379 2379 confession anticipation
## 2380 2380 confession fear
## 2381 2381 confession negative
## 2382 2382 confession sadness
## 2383 2383 confession surprise
## 2384 2384 confessional fear
## 2385 2385 confessional trust
## 2386 2386 confide trust
## 2387 2387 confidence fear
## 2388 2388 confidence joy
## 2389 2389 confidence positive
## 2390 2390 confidence trust
## 2391 2391 confident joy
## 2392 2392 confident positive
## 2393 2393 confident trust
## 2394 2394 confidential trust
## 2395 2395 confidentially trust
## 2396 2396 confine anger
## 2397 2397 confine fear
## 2398 2398 confine negative
## 2399 2399 confine sadness
## 2400 2400 confined anger
## 2401 2401 confined disgust
## 2402 2402 confined fear
## 2403 2403 confined negative
## 2404 2404 confined sadness
## 2405 2405 confinement anger
## 2406 2406 confinement fear
## 2407 2407 confinement negative
## 2408 2408 confinement sadness
## 2409 2409 confirmation trust
## 2410 2410 confirmed positive
## 2411 2411 confirmed trust
## 2412 2412 confiscate anger
## 2413 2413 confiscate negative
## 2414 2414 confiscate sadness
## 2415 2415 confiscation negative
## 2416 2416 conflagration anger
## 2417 2417 conflagration fear
## 2418 2418 conflagration negative
## 2419 2419 conflict anger
## 2420 2420 conflict fear
## 2421 2421 conflict negative
## 2422 2422 conflict sadness
## 2423 2423 conflicting negative
## 2424 2424 conformance positive
## 2425 2425 conformity trust
## 2426 2426 confound negative
## 2427 2427 confounded negative
## 2428 2428 confront anger
## 2429 2429 confuse negative
## 2430 2430 confusion anger
## 2431 2431 confusion fear
## 2432 2432 confusion negative
## 2433 2433 congenial positive
## 2434 2434 congestion negative
## 2435 2435 conglomerate trust
## 2436 2436 congratulatory joy
## 2437 2437 congratulatory positive
## 2438 2438 congregation positive
## 2439 2439 congregation trust
## 2440 2440 congress disgust
## 2441 2441 congress trust
## 2442 2442 congressman trust
## 2443 2443 congruence positive
## 2444 2444 congruence trust
## 2445 2445 conjecture anticipation
## 2446 2446 conjure anticipation
## 2447 2447 conjure surprise
## 2448 2448 conjuring negative
## 2449 2449 connective trust
## 2450 2450 connoisseur joy
## 2451 2451 connoisseur positive
## 2452 2452 connoisseur trust
## 2453 2453 conquest anger
## 2454 2454 conquest fear
## 2455 2455 conquest negative
## 2456 2456 conscience positive
## 2457 2457 conscience trust
## 2458 2458 conscientious positive
## 2459 2459 conscientious trust
## 2460 2460 consciousness positive
## 2461 2461 consecration anticipation
## 2462 2462 consecration joy
## 2463 2463 consecration positive
## 2464 2464 consecration sadness
## 2465 2465 consecration trust
## 2466 2466 consequent anticipation
## 2467 2467 conservation anticipation
## 2468 2468 conservation positive
## 2469 2469 conservation trust
## 2470 2470 conserve positive
## 2471 2471 considerable positive
## 2472 2472 considerate positive
## 2473 2473 considerate trust
## 2474 2474 consistency positive
## 2475 2475 consistency trust
## 2476 2476 console positive
## 2477 2477 console sadness
## 2478 2478 consonant positive
## 2479 2479 consort trust
## 2480 2480 conspiracy fear
## 2481 2481 conspirator anger
## 2482 2482 conspirator anticipation
## 2483 2483 conspirator disgust
## 2484 2484 conspirator fear
## 2485 2485 conspirator negative
## 2486 2486 conspire fear
## 2487 2487 conspire negative
## 2488 2488 constable trust
## 2489 2489 constancy positive
## 2490 2490 constancy trust
## 2491 2491 constant positive
## 2492 2492 constant trust
## 2493 2493 constantly trust
## 2494 2494 consternation anger
## 2495 2495 consternation fear
## 2496 2496 consternation negative
## 2497 2497 constipation disgust
## 2498 2498 constipation negative
## 2499 2499 constitute trust
## 2500 2500 constitutional positive
## 2501 2501 constitutional trust
## 2502 2502 constrain fear
## 2503 2503 constrain negative
## 2504 2504 constrained negative
## 2505 2505 constraint anger
## 2506 2506 constraint fear
## 2507 2507 constraint negative
## 2508 2508 constraint sadness
## 2509 2509 construct positive
## 2510 2510 consul trust
## 2511 2511 consult trust
## 2512 2512 consummate positive
## 2513 2513 contact positive
## 2514 2514 contagion anticipation
## 2515 2515 contagion disgust
## 2516 2516 contagion fear
## 2517 2517 contagion negative
## 2518 2518 contagious disgust
## 2519 2519 contagious fear
## 2520 2520 contagious negative
## 2521 2521 contaminate disgust
## 2522 2522 contaminate negative
## 2523 2523 contaminated disgust
## 2524 2524 contaminated fear
## 2525 2525 contaminated negative
## 2526 2526 contaminated sadness
## 2527 2527 contamination disgust
## 2528 2528 contamination negative
## 2529 2529 contemplation positive
## 2530 2530 contempt anger
## 2531 2531 contempt disgust
## 2532 2532 contempt fear
## 2533 2533 contempt negative
## 2534 2534 contemptible anger
## 2535 2535 contemptible disgust
## 2536 2536 contemptible negative
## 2537 2537 contemptuous anger
## 2538 2538 contemptuous negative
## 2539 2539 content joy
## 2540 2540 content positive
## 2541 2541 content trust
## 2542 2542 contentious anger
## 2543 2543 contentious disgust
## 2544 2544 contentious fear
## 2545 2545 contentious negative
## 2546 2546 contingent anticipation
## 2547 2547 continuation anticipation
## 2548 2548 continue anticipation
## 2549 2549 continue positive
## 2550 2550 continue trust
## 2551 2551 contour positive
## 2552 2552 contraband anger
## 2553 2553 contraband disgust
## 2554 2554 contraband fear
## 2555 2555 contraband negative
## 2556 2556 contracted negative
## 2557 2557 contradict anger
## 2558 2558 contradict negative
## 2559 2559 contradiction negative
## 2560 2560 contradictory negative
## 2561 2561 contrary negative
## 2562 2562 contrasted negative
## 2563 2563 contravene negative
## 2564 2564 contravention negative
## 2565 2565 contribute positive
## 2566 2566 contributor positive
## 2567 2567 contributor trust
## 2568 2568 controversial anger
## 2569 2569 controversial negative
## 2570 2570 controversy negative
## 2571 2571 convenience positive
## 2572 2572 convenient positive
## 2573 2573 convent positive
## 2574 2574 convent trust
## 2575 2575 convention positive
## 2576 2576 convergence anticipation
## 2577 2577 conversant positive
## 2578 2578 conversational positive
## 2579 2579 convert positive
## 2580 2580 conveyancing trust
## 2581 2581 convict anger
## 2582 2582 convict disgust
## 2583 2583 convict fear
## 2584 2584 convict negative
## 2585 2585 convict sadness
## 2586 2586 conviction negative
## 2587 2587 convince anticipation
## 2588 2588 convince positive
## 2589 2589 convince trust
## 2590 2590 convinced trust
## 2591 2591 convincing trust
## 2592 2592 cool positive
## 2593 2593 coolness positive
## 2594 2594 coop anger
## 2595 2595 coop disgust
## 2596 2596 coop negative
## 2597 2597 cooperate positive
## 2598 2598 cooperating positive
## 2599 2599 cooperating trust
## 2600 2600 cooperation positive
## 2601 2601 cooperation trust
## 2602 2602 cooperative positive
## 2603 2603 cooperative trust
## 2604 2604 cop fear
## 2605 2605 cop trust
## 2606 2606 copy negative
## 2607 2607 copycat anger
## 2608 2608 copycat disgust
## 2609 2609 copycat negative
## 2610 2610 core positive
## 2611 2611 coronation joy
## 2612 2612 coronation positive
## 2613 2613 coronation trust
## 2614 2614 coroner negative
## 2615 2615 corporal negative
## 2616 2616 corporation positive
## 2617 2617 corporation trust
## 2618 2618 corporeal positive
## 2619 2619 corpse disgust
## 2620 2620 corpse negative
## 2621 2621 corpse sadness
## 2622 2622 correction negative
## 2623 2623 corrective positive
## 2624 2624 correctness trust
## 2625 2625 correspondence anticipation
## 2626 2626 correspondence positive
## 2627 2627 corroborate positive
## 2628 2628 corroborate trust
## 2629 2629 corroboration trust
## 2630 2630 corrosion negative
## 2631 2631 corrosive fear
## 2632 2632 corrosive negative
## 2633 2633 corrupt negative
## 2634 2634 corrupting anger
## 2635 2635 corrupting disgust
## 2636 2636 corrupting fear
## 2637 2637 corrupting negative
## 2638 2638 corrupting sadness
## 2639 2639 corruption disgust
## 2640 2640 corruption negative
## 2641 2641 corse sadness
## 2642 2642 cosmopolitan positive
## 2643 2643 cosmopolitan trust
## 2644 2644 cosy positive
## 2645 2645 couch sadness
## 2646 2646 cough disgust
## 2647 2647 cough negative
## 2648 2648 council anticipation
## 2649 2649 council positive
## 2650 2650 council trust
## 2651 2651 counsel positive
## 2652 2652 counsel trust
## 2653 2653 counsellor anger
## 2654 2654 counsellor fear
## 2655 2655 counsellor negative
## 2656 2656 counsellor trust
## 2657 2657 counselor positive
## 2658 2658 counselor trust
## 2659 2659 count positive
## 2660 2660 count trust
## 2661 2661 countdown anticipation
## 2662 2662 countess positive
## 2663 2663 countryman trust
## 2664 2664 county trust
## 2665 2665 coup anger
## 2666 2666 coup surprise
## 2667 2667 courage positive
## 2668 2668 courageous fear
## 2669 2669 courageous positive
## 2670 2670 courier trust
## 2671 2671 coursing negative
## 2672 2672 court anger
## 2673 2673 court anticipation
## 2674 2674 court fear
## 2675 2675 courteous positive
## 2676 2676 courtesy positive
## 2677 2677 courtship anticipation
## 2678 2678 courtship joy
## 2679 2679 courtship positive
## 2680 2680 courtship trust
## 2681 2681 cove anticipation
## 2682 2682 cove disgust
## 2683 2683 cove fear
## 2684 2684 cove joy
## 2685 2685 cove positive
## 2686 2686 covenant positive
## 2687 2687 covenant trust
## 2688 2688 cover trust
## 2689 2689 covet negative
## 2690 2690 coward disgust
## 2691 2691 coward fear
## 2692 2692 coward negative
## 2693 2693 coward sadness
## 2694 2694 cowardice fear
## 2695 2695 cowardice negative
## 2696 2696 cowardly fear
## 2697 2697 cowardly negative
## 2698 2698 coy fear
## 2699 2699 coyote fear
## 2700 2700 crabby anger
## 2701 2701 crabby negative
## 2702 2702 crack negative
## 2703 2703 cracked anger
## 2704 2704 cracked fear
## 2705 2705 cracked negative
## 2706 2706 cracking negative
## 2707 2707 cradle anticipation
## 2708 2708 cradle joy
## 2709 2709 cradle positive
## 2710 2710 cradle trust
## 2711 2711 craft positive
## 2712 2712 craftsman positive
## 2713 2713 cramp anticipation
## 2714 2714 cramp negative
## 2715 2715 cramped negative
## 2716 2716 crank negative
## 2717 2717 cranky anger
## 2718 2718 cranky negative
## 2719 2719 crap disgust
## 2720 2720 crap negative
## 2721 2721 craps anticipation
## 2722 2722 crash fear
## 2723 2723 crash negative
## 2724 2724 crash sadness
## 2725 2725 crash surprise
## 2726 2726 crave anticipation
## 2727 2727 craving anticipation
## 2728 2728 crawl disgust
## 2729 2729 crawl negative
## 2730 2730 crazed anger
## 2731 2731 crazed fear
## 2732 2732 crazed negative
## 2733 2733 crazy anger
## 2734 2734 crazy fear
## 2735 2735 crazy negative
## 2736 2736 crazy sadness
## 2737 2737 creaking negative
## 2738 2738 cream anticipation
## 2739 2739 cream joy
## 2740 2740 cream positive
## 2741 2741 cream surprise
## 2742 2742 create joy
## 2743 2743 create positive
## 2744 2744 creative positive
## 2745 2745 creature disgust
## 2746 2746 creature fear
## 2747 2747 creature negative
## 2748 2748 credence positive
## 2749 2749 credence trust
## 2750 2750 credential positive
## 2751 2751 credential trust
## 2752 2752 credibility positive
## 2753 2753 credibility trust
## 2754 2754 credible positive
## 2755 2755 credible trust
## 2756 2756 credit positive
## 2757 2757 credit trust
## 2758 2758 creditable positive
## 2759 2759 creditable trust
## 2760 2760 credited positive
## 2761 2761 creep negative
## 2762 2762 creeping anticipation
## 2763 2763 cremation sadness
## 2764 2764 crescendo anticipation
## 2765 2765 crescendo joy
## 2766 2766 crescendo positive
## 2767 2767 crescendo surprise
## 2768 2768 crescendo trust
## 2769 2769 crew trust
## 2770 2770 crime anger
## 2771 2771 crime negative
## 2772 2772 criminal anger
## 2773 2773 criminal disgust
## 2774 2774 criminal fear
## 2775 2775 criminal negative
## 2776 2776 criminality anger
## 2777 2777 criminality disgust
## 2778 2778 criminality fear
## 2779 2779 criminality negative
## 2780 2780 cringe disgust
## 2781 2781 cringe fear
## 2782 2782 cringe negative
## 2783 2783 cringe sadness
## 2784 2784 cripple fear
## 2785 2785 cripple negative
## 2786 2786 cripple sadness
## 2787 2787 crippled negative
## 2788 2788 crippled sadness
## 2789 2789 crisis negative
## 2790 2790 crisp negative
## 2791 2791 crisp trust
## 2792 2792 critic negative
## 2793 2793 criticism anger
## 2794 2794 criticism negative
## 2795 2795 criticism sadness
## 2796 2796 criticize anger
## 2797 2797 criticize disgust
## 2798 2798 criticize fear
## 2799 2799 criticize negative
## 2800 2800 criticize sadness
## 2801 2801 critique positive
## 2802 2802 critter disgust
## 2803 2803 crocodile fear
## 2804 2804 crook negative
## 2805 2805 cross anger
## 2806 2806 cross fear
## 2807 2807 cross negative
## 2808 2808 cross sadness
## 2809 2809 crouch fear
## 2810 2810 crouching fear
## 2811 2811 crouching negative
## 2812 2812 crowning anticipation
## 2813 2813 crowning joy
## 2814 2814 crowning positive
## 2815 2815 crowning surprise
## 2816 2816 crowning trust
## 2817 2817 crucial positive
## 2818 2818 crucial trust
## 2819 2819 cruciate negative
## 2820 2820 crucifixion anger
## 2821 2821 crucifixion disgust
## 2822 2822 crucifixion fear
## 2823 2823 crucifixion negative
## 2824 2824 crucifixion sadness
## 2825 2825 crude disgust
## 2826 2826 crude negative
## 2827 2827 cruel anger
## 2828 2828 cruel disgust
## 2829 2829 cruel fear
## 2830 2830 cruel negative
## 2831 2831 cruel sadness
## 2832 2832 cruelly anger
## 2833 2833 cruelly fear
## 2834 2834 cruelly negative
## 2835 2835 cruelty anger
## 2836 2836 cruelty disgust
## 2837 2837 cruelty fear
## 2838 2838 cruelty negative
## 2839 2839 cruelty sadness
## 2840 2840 crumbling negative
## 2841 2841 crumbling sadness
## 2842 2842 crunch anger
## 2843 2843 crunch negative
## 2844 2844 crusade anger
## 2845 2845 crusade fear
## 2846 2846 crusade negative
## 2847 2847 crushed anger
## 2848 2848 crushed disgust
## 2849 2849 crushed fear
## 2850 2850 crushed negative
## 2851 2851 crushed sadness
## 2852 2852 crushing anger
## 2853 2853 crushing disgust
## 2854 2854 crushing fear
## 2855 2855 crushing negative
## 2856 2856 crusty disgust
## 2857 2857 crusty negative
## 2858 2858 cry negative
## 2859 2859 cry sadness
## 2860 2860 crying negative
## 2861 2861 crying sadness
## 2862 2862 crypt fear
## 2863 2863 crypt negative
## 2864 2864 crypt sadness
## 2865 2865 crystal positive
## 2866 2866 cube trust
## 2867 2867 cuckold disgust
## 2868 2868 cuckold negative
## 2869 2869 cuckoo negative
## 2870 2870 cuddle joy
## 2871 2871 cuddle positive
## 2872 2872 cuddle trust
## 2873 2873 cue anticipation
## 2874 2874 culinary positive
## 2875 2875 culinary trust
## 2876 2876 cull negative
## 2877 2877 culmination positive
## 2878 2878 culpability negative
## 2879 2879 culpable negative
## 2880 2880 culprit negative
## 2881 2881 cult fear
## 2882 2882 cult negative
## 2883 2883 cultivate anticipation
## 2884 2884 cultivate positive
## 2885 2885 cultivate trust
## 2886 2886 cultivated positive
## 2887 2887 cultivation positive
## 2888 2888 culture positive
## 2889 2889 cumbersome negative
## 2890 2890 cumbersome sadness
## 2891 2891 cunning negative
## 2892 2892 cunning positive
## 2893 2893 cupping disgust
## 2894 2894 cupping fear
## 2895 2895 cupping negative
## 2896 2896 cupping sadness
## 2897 2897 cur anger
## 2898 2898 cur disgust
## 2899 2899 cur fear
## 2900 2900 cur negative
## 2901 2901 curable positive
## 2902 2902 curable trust
## 2903 2903 curiosity anticipation
## 2904 2904 curiosity positive
## 2905 2905 curiosity surprise
## 2906 2906 curl positive
## 2907 2907 curse anger
## 2908 2908 curse disgust
## 2909 2909 curse fear
## 2910 2910 curse negative
## 2911 2911 curse sadness
## 2912 2912 cursed anger
## 2913 2913 cursed fear
## 2914 2914 cursed negative
## 2915 2915 cursed sadness
## 2916 2916 cursing anger
## 2917 2917 cursing disgust
## 2918 2918 cursing negative
## 2919 2919 cursory negative
## 2920 2920 cushion positive
## 2921 2921 cussed anger
## 2922 2922 custodian trust
## 2923 2923 custody trust
## 2924 2924 customer positive
## 2925 2925 cute positive
## 2926 2926 cutter fear
## 2927 2927 cutter negative
## 2928 2928 cutters positive
## 2929 2929 cutthroat anger
## 2930 2930 cutthroat fear
## 2931 2931 cutthroat negative
## 2932 2932 cutting anger
## 2933 2933 cutting disgust
## 2934 2934 cutting fear
## 2935 2935 cutting negative
## 2936 2936 cutting sadness
## 2937 2937 cyanide fear
## 2938 2938 cyanide negative
## 2939 2939 cyclone fear
## 2940 2940 cyclone negative
## 2941 2941 cyclone surprise
## 2942 2942 cyst fear
## 2943 2943 cyst negative
## 2944 2944 cyst sadness
## 2945 2945 cystic disgust
## 2946 2946 cytomegalovirus negative
## 2947 2947 cytomegalovirus sadness
## 2948 2948 dabbling anger
## 2949 2949 dabbling disgust
## 2950 2950 dabbling negative
## 2951 2951 daemon anger
## 2952 2952 daemon disgust
## 2953 2953 daemon fear
## 2954 2954 daemon negative
## 2955 2955 daemon sadness
## 2956 2956 daemon surprise
## 2957 2957 daft disgust
## 2958 2958 daft negative
## 2959 2959 dagger fear
## 2960 2960 dagger negative
## 2961 2961 daily anticipation
## 2962 2962 damage anger
## 2963 2963 damage disgust
## 2964 2964 damage negative
## 2965 2965 damage sadness
## 2966 2966 damages negative
## 2967 2967 damages sadness
## 2968 2968 dame anger
## 2969 2969 dame disgust
## 2970 2970 dame positive
## 2971 2971 dame trust
## 2972 2972 damn anger
## 2973 2973 damn disgust
## 2974 2974 damn negative
## 2975 2975 damnation anger
## 2976 2976 damnation fear
## 2977 2977 damnation negative
## 2978 2978 damnation sadness
## 2979 2979 damned negative
## 2980 2980 damper negative
## 2981 2981 dance joy
## 2982 2982 dance positive
## 2983 2983 dance trust
## 2984 2984 dandruff negative
## 2985 2985 dandy disgust
## 2986 2986 dandy negative
## 2987 2987 danger fear
## 2988 2988 danger negative
## 2989 2989 danger sadness
## 2990 2990 dangerous fear
## 2991 2991 dangerous negative
## 2992 2992 dank disgust
## 2993 2993 dare anticipation
## 2994 2994 dare trust
## 2995 2995 daring positive
## 2996 2996 dark sadness
## 2997 2997 darken fear
## 2998 2998 darken negative
## 2999 2999 darken sadness
## 3000 3000 darkened fear
## 3001 3001 darkened negative
## 3002 3002 darkened sadness
## 3003 3003 darkness anger
## 3004 3004 darkness fear
## 3005 3005 darkness negative
## 3006 3006 darkness sadness
## 3007 3007 darling joy
## 3008 3008 darling positive
## 3009 3009 darling trust
## 3010 3010 dart fear
## 3011 3011 dashed anger
## 3012 3012 dashed fear
## 3013 3013 dashed negative
## 3014 3014 dashed sadness
## 3015 3015 dashing positive
## 3016 3016 dastardly anger
## 3017 3017 dastardly disgust
## 3018 3018 dastardly fear
## 3019 3019 dastardly negative
## 3020 3020 daughter joy
## 3021 3021 daughter positive
## 3022 3022 dawn anticipation
## 3023 3023 dawn joy
## 3024 3024 dawn positive
## 3025 3025 dawn surprise
## 3026 3026 dawn trust
## 3027 3027 dazed negative
## 3028 3028 deacon trust
## 3029 3029 deactivate negative
## 3030 3030 deadlock negative
## 3031 3031 deadly anger
## 3032 3032 deadly disgust
## 3033 3033 deadly fear
## 3034 3034 deadly negative
## 3035 3035 deadly sadness
## 3036 3036 deal anticipation
## 3037 3037 deal joy
## 3038 3038 deal positive
## 3039 3039 deal surprise
## 3040 3040 deal trust
## 3041 3041 dealings trust
## 3042 3042 dear positive
## 3043 3043 death anger
## 3044 3044 death anticipation
## 3045 3045 death disgust
## 3046 3046 death fear
## 3047 3047 death negative
## 3048 3048 death sadness
## 3049 3049 death surprise
## 3050 3050 debacle fear
## 3051 3051 debacle negative
## 3052 3052 debacle sadness
## 3053 3053 debate positive
## 3054 3054 debauchery disgust
## 3055 3055 debauchery fear
## 3056 3056 debauchery negative
## 3057 3057 debenture anticipation
## 3058 3058 debris disgust
## 3059 3059 debris negative
## 3060 3060 debt negative
## 3061 3061 debt sadness
## 3062 3062 debtor negative
## 3063 3063 decay fear
## 3064 3064 decay negative
## 3065 3065 decay sadness
## 3066 3066 decayed disgust
## 3067 3067 decayed negative
## 3068 3068 decayed sadness
## 3069 3069 deceased negative
## 3070 3070 deceased sadness
## 3071 3071 deceit anger
## 3072 3072 deceit disgust
## 3073 3073 deceit fear
## 3074 3074 deceit negative
## 3075 3075 deceit sadness
## 3076 3076 deceit surprise
## 3077 3077 deceitful disgust
## 3078 3078 deceitful negative
## 3079 3079 deceitful sadness
## 3080 3080 deceive anger
## 3081 3081 deceive disgust
## 3082 3082 deceive negative
## 3083 3083 deceive sadness
## 3084 3084 deceived anger
## 3085 3085 deceived negative
## 3086 3086 deceiving negative
## 3087 3087 deceiving trust
## 3088 3088 decency positive
## 3089 3089 decent positive
## 3090 3090 deception negative
## 3091 3091 deceptive negative
## 3092 3092 declaratory positive
## 3093 3093 declination negative
## 3094 3094 decline negative
## 3095 3095 declining negative
## 3096 3096 decompose disgust
## 3097 3097 decomposed sadness
## 3098 3098 decomposition disgust
## 3099 3099 decomposition fear
## 3100 3100 decomposition negative
## 3101 3101 decomposition sadness
## 3102 3102 decoy surprise
## 3103 3103 decrease negative
## 3104 3104 decrement negative
## 3105 3105 decrepit negative
## 3106 3106 decry anger
## 3107 3107 decry negative
## 3108 3108 dedication positive
## 3109 3109 deduct negative
## 3110 3110 deed trust
## 3111 3111 defamation disgust
## 3112 3112 defamation fear
## 3113 3113 defamation negative
## 3114 3114 defamatory anger
## 3115 3115 defamatory negative
## 3116 3116 default disgust
## 3117 3117 default fear
## 3118 3118 default negative
## 3119 3119 default sadness
## 3120 3120 defeat negative
## 3121 3121 defeated negative
## 3122 3122 defeated sadness
## 3123 3123 defect anger
## 3124 3124 defect negative
## 3125 3125 defection fear
## 3126 3126 defection negative
## 3127 3127 defective disgust
## 3128 3128 defective negative
## 3129 3129 defend fear
## 3130 3130 defend positive
## 3131 3131 defendant anger
## 3132 3132 defendant fear
## 3133 3133 defendant sadness
## 3134 3134 defended positive
## 3135 3135 defended trust
## 3136 3136 defender positive
## 3137 3137 defender trust
## 3138 3138 defending positive
## 3139 3139 defense anger
## 3140 3140 defense anticipation
## 3141 3141 defense fear
## 3142 3142 defense positive
## 3143 3143 defenseless fear
## 3144 3144 defenseless negative
## 3145 3145 defenseless sadness
## 3146 3146 deference positive
## 3147 3147 deference trust
## 3148 3148 deferral negative
## 3149 3149 defiance anger
## 3150 3150 defiance disgust
## 3151 3151 defiance fear
## 3152 3152 defiance negative
## 3153 3153 defiant anger
## 3154 3154 defiant negative
## 3155 3155 deficiency negative
## 3156 3156 deficit negative
## 3157 3157 definitive positive
## 3158 3158 definitive trust
## 3159 3159 deflate anger
## 3160 3160 deflate negative
## 3161 3161 deflate sadness
## 3162 3162 deflation fear
## 3163 3163 deflation negative
## 3164 3164 deform disgust
## 3165 3165 deform negative
## 3166 3166 deformed disgust
## 3167 3167 deformed negative
## 3168 3168 deformed sadness
## 3169 3169 deformity disgust
## 3170 3170 deformity fear
## 3171 3171 deformity negative
## 3172 3172 deformity sadness
## 3173 3173 defraud anger
## 3174 3174 defraud disgust
## 3175 3175 defraud negative
## 3176 3176 defunct negative
## 3177 3177 defunct sadness
## 3178 3178 defy anger
## 3179 3179 defy fear
## 3180 3180 defy negative
## 3181 3181 defy sadness
## 3182 3182 defy surprise
## 3183 3183 degeneracy anger
## 3184 3184 degeneracy disgust
## 3185 3185 degeneracy negative
## 3186 3186 degeneracy sadness
## 3187 3187 degenerate negative
## 3188 3188 degradation negative
## 3189 3189 degrade disgust
## 3190 3190 degrade negative
## 3191 3191 degrading disgust
## 3192 3192 degrading fear
## 3193 3193 degrading negative
## 3194 3194 degrading sadness
## 3195 3195 degree positive
## 3196 3196 delay anger
## 3197 3197 delay disgust
## 3198 3198 delay fear
## 3199 3199 delay negative
## 3200 3200 delay sadness
## 3201 3201 delayed negative
## 3202 3202 delectable positive
## 3203 3203 delegate positive
## 3204 3204 delegate trust
## 3205 3205 deleterious anger
## 3206 3206 deleterious disgust
## 3207 3207 deleterious fear
## 3208 3208 deleterious negative
## 3209 3209 deletion negative
## 3210 3210 deliberate positive
## 3211 3211 delicious joy
## 3212 3212 delicious positive
## 3213 3213 delight anticipation
## 3214 3214 delight joy
## 3215 3215 delight positive
## 3216 3216 delighted anticipation
## 3217 3217 delighted joy
## 3218 3218 delighted positive
## 3219 3219 delighted surprise
## 3220 3220 delightful anticipation
## 3221 3221 delightful joy
## 3222 3222 delightful positive
## 3223 3223 delightful trust
## 3224 3224 delinquency negative
## 3225 3225 delinquent anger
## 3226 3226 delinquent disgust
## 3227 3227 delinquent negative
## 3228 3228 delirious negative
## 3229 3229 delirious sadness
## 3230 3230 delirium disgust
## 3231 3231 delirium negative
## 3232 3232 delirium sadness
## 3233 3233 deliverance anticipation
## 3234 3234 deliverance joy
## 3235 3235 deliverance positive
## 3236 3236 deliverance trust
## 3237 3237 delivery anticipation
## 3238 3238 delivery positive
## 3239 3239 deluge fear
## 3240 3240 deluge negative
## 3241 3241 deluge sadness
## 3242 3242 deluge surprise
## 3243 3243 delusion anger
## 3244 3244 delusion fear
## 3245 3245 delusion negative
## 3246 3246 delusion sadness
## 3247 3247 delusional anger
## 3248 3248 delusional fear
## 3249 3249 delusional negative
## 3250 3250 demand anger
## 3251 3251 demand negative
## 3252 3252 demanding negative
## 3253 3253 demented fear
## 3254 3254 demented negative
## 3255 3255 dementia fear
## 3256 3256 dementia negative
## 3257 3257 dementia sadness
## 3258 3258 demise fear
## 3259 3259 demise negative
## 3260 3260 demise sadness
## 3261 3261 democracy positive
## 3262 3262 demolish anger
## 3263 3263 demolish negative
## 3264 3264 demolish sadness
## 3265 3265 demolition negative
## 3266 3266 demon anger
## 3267 3267 demon disgust
## 3268 3268 demon fear
## 3269 3269 demon negative
## 3270 3270 demon sadness
## 3271 3271 demonic anger
## 3272 3272 demonic disgust
## 3273 3273 demonic fear
## 3274 3274 demonic negative
## 3275 3275 demonic sadness
## 3276 3276 demonstrable positive
## 3277 3277 demonstrative joy
## 3278 3278 demonstrative positive
## 3279 3279 demonstrative sadness
## 3280 3280 demoralized fear
## 3281 3281 demoralized negative
## 3282 3282 demoralized sadness
## 3283 3283 denial negative
## 3284 3284 denied negative
## 3285 3285 denied sadness
## 3286 3286 denounce anger
## 3287 3287 denounce disgust
## 3288 3288 denounce negative
## 3289 3289 dentistry fear
## 3290 3290 denunciation anger
## 3291 3291 denunciation disgust
## 3292 3292 denunciation fear
## 3293 3293 denunciation negative
## 3294 3294 deny anger
## 3295 3295 deny negative
## 3296 3296 denying anticipation
## 3297 3297 denying negative
## 3298 3298 depart anticipation
## 3299 3299 depart sadness
## 3300 3300 departed negative
## 3301 3301 departed sadness
## 3302 3302 departure negative
## 3303 3303 departure sadness
## 3304 3304 depend anticipation
## 3305 3305 depend trust
## 3306 3306 dependence fear
## 3307 3307 dependence negative
## 3308 3308 dependence sadness
## 3309 3309 dependency negative
## 3310 3310 dependent negative
## 3311 3311 dependent positive
## 3312 3312 dependent trust
## 3313 3313 deplorable anger
## 3314 3314 deplorable disgust
## 3315 3315 deplorable fear
## 3316 3316 deplorable negative
## 3317 3317 deplorable sadness
## 3318 3318 deplore anger
## 3319 3319 deplore disgust
## 3320 3320 deplore negative
## 3321 3321 deplore sadness
## 3322 3322 deport fear
## 3323 3323 deport negative
## 3324 3324 deport sadness
## 3325 3325 deportation anger
## 3326 3326 deportation fear
## 3327 3327 deportation negative
## 3328 3328 deportation sadness
## 3329 3329 depository trust
## 3330 3330 depraved anger
## 3331 3331 depraved anticipation
## 3332 3332 depraved disgust
## 3333 3333 depraved fear
## 3334 3334 depraved negative
## 3335 3335 depraved sadness
## 3336 3336 depravity anger
## 3337 3337 depravity disgust
## 3338 3338 depravity negative
## 3339 3339 depreciate anger
## 3340 3340 depreciate disgust
## 3341 3341 depreciate negative
## 3342 3342 depreciated anger
## 3343 3343 depreciated disgust
## 3344 3344 depreciated fear
## 3345 3345 depreciated negative
## 3346 3346 depreciated sadness
## 3347 3347 depreciation fear
## 3348 3348 depreciation negative
## 3349 3349 depress fear
## 3350 3350 depress negative
## 3351 3351 depress sadness
## 3352 3352 depressed anger
## 3353 3353 depressed fear
## 3354 3354 depressed negative
## 3355 3355 depressed sadness
## 3356 3356 depressing disgust
## 3357 3357 depressing negative
## 3358 3358 depressing sadness
## 3359 3359 depression negative
## 3360 3360 depression sadness
## 3361 3361 depressive negative
## 3362 3362 depressive sadness
## 3363 3363 deprivation anger
## 3364 3364 deprivation disgust
## 3365 3365 deprivation fear
## 3366 3366 deprivation negative
## 3367 3367 deprivation sadness
## 3368 3368 depth positive
## 3369 3369 depth trust
## 3370 3370 deputy trust
## 3371 3371 deranged anger
## 3372 3372 deranged disgust
## 3373 3373 deranged fear
## 3374 3374 deranged negative
## 3375 3375 derelict negative
## 3376 3376 derision anger
## 3377 3377 derision disgust
## 3378 3378 derision negative
## 3379 3379 dermatologist trust
## 3380 3380 derogation anger
## 3381 3381 derogation disgust
## 3382 3382 derogation fear
## 3383 3383 derogation negative
## 3384 3384 derogation sadness
## 3385 3385 derogatory anger
## 3386 3386 derogatory disgust
## 3387 3387 derogatory fear
## 3388 3388 derogatory negative
## 3389 3389 derogatory sadness
## 3390 3390 descent fear
## 3391 3391 descent sadness
## 3392 3392 descriptive positive
## 3393 3393 desecration anger
## 3394 3394 desecration disgust
## 3395 3395 desecration fear
## 3396 3396 desecration negative
## 3397 3397 desecration sadness
## 3398 3398 desert anger
## 3399 3399 desert disgust
## 3400 3400 desert fear
## 3401 3401 desert negative
## 3402 3402 desert sadness
## 3403 3403 deserted anger
## 3404 3404 deserted disgust
## 3405 3405 deserted fear
## 3406 3406 deserted negative
## 3407 3407 deserted sadness
## 3408 3408 desertion negative
## 3409 3409 deserve anger
## 3410 3410 deserve anticipation
## 3411 3411 deserve positive
## 3412 3412 deserve trust
## 3413 3413 deserved positive
## 3414 3414 designation trust
## 3415 3415 designer positive
## 3416 3416 desirable positive
## 3417 3417 desiring positive
## 3418 3418 desirous positive
## 3419 3419 desist anger
## 3420 3420 desist disgust
## 3421 3421 desist negative
## 3422 3422 desolation fear
## 3423 3423 desolation negative
## 3424 3424 desolation sadness
## 3425 3425 despair anger
## 3426 3426 despair disgust
## 3427 3427 despair fear
## 3428 3428 despair negative
## 3429 3429 despair sadness
## 3430 3430 despairing fear
## 3431 3431 despairing negative
## 3432 3432 despairing sadness
## 3433 3433 desperate negative
## 3434 3434 despicable anger
## 3435 3435 despicable disgust
## 3436 3436 despicable negative
## 3437 3437 despise anger
## 3438 3438 despise disgust
## 3439 3439 despise negative
## 3440 3440 despotic fear
## 3441 3441 despotic negative
## 3442 3442 despotism anger
## 3443 3443 despotism disgust
## 3444 3444 despotism fear
## 3445 3445 despotism negative
## 3446 3446 despotism sadness
## 3447 3447 destination anticipation
## 3448 3448 destination fear
## 3449 3449 destination joy
## 3450 3450 destination positive
## 3451 3451 destination sadness
## 3452 3452 destination surprise
## 3453 3453 destined anticipation
## 3454 3454 destitute fear
## 3455 3455 destitute negative
## 3456 3456 destitute sadness
## 3457 3457 destroyed anger
## 3458 3458 destroyed fear
## 3459 3459 destroyed negative
## 3460 3460 destroyed sadness
## 3461 3461 destroyer anger
## 3462 3462 destroyer fear
## 3463 3463 destroyer negative
## 3464 3464 destroying anger
## 3465 3465 destroying fear
## 3466 3466 destroying negative
## 3467 3467 destroying sadness
## 3468 3468 destruction anger
## 3469 3469 destruction negative
## 3470 3470 destructive anger
## 3471 3471 destructive disgust
## 3472 3472 destructive fear
## 3473 3473 destructive negative
## 3474 3474 detachment negative
## 3475 3475 detain negative
## 3476 3476 detainee anger
## 3477 3477 detainee anticipation
## 3478 3478 detainee fear
## 3479 3479 detainee negative
## 3480 3480 detainee sadness
## 3481 3481 detect positive
## 3482 3482 detection positive
## 3483 3483 detention negative
## 3484 3484 detention sadness
## 3485 3485 deteriorate fear
## 3486 3486 deteriorate negative
## 3487 3487 deteriorate sadness
## 3488 3488 deteriorated disgust
## 3489 3489 deteriorated negative
## 3490 3490 deteriorated sadness
## 3491 3491 deterioration anger
## 3492 3492 deterioration disgust
## 3493 3493 deterioration fear
## 3494 3494 deterioration negative
## 3495 3495 deterioration sadness
## 3496 3496 determinate anticipation
## 3497 3497 determinate trust
## 3498 3498 determination positive
## 3499 3499 determination trust
## 3500 3500 determined positive
## 3501 3501 detest anger
## 3502 3502 detest disgust
## 3503 3503 detest negative
## 3504 3504 detonate fear
## 3505 3505 detonate negative
## 3506 3506 detonate surprise
## 3507 3507 detonation anger
## 3508 3508 detract anger
## 3509 3509 detract negative
## 3510 3510 detriment negative
## 3511 3511 detrimental negative
## 3512 3512 detritus negative
## 3513 3513 devastate anger
## 3514 3514 devastate fear
## 3515 3515 devastate negative
## 3516 3516 devastate sadness
## 3517 3517 devastating anger
## 3518 3518 devastating disgust
## 3519 3519 devastating fear
## 3520 3520 devastating negative
## 3521 3521 devastating sadness
## 3522 3522 devastating trust
## 3523 3523 devastation anger
## 3524 3524 devastation fear
## 3525 3525 devastation negative
## 3526 3526 devastation sadness
## 3527 3527 devastation surprise
## 3528 3528 develop anticipation
## 3529 3529 develop positive
## 3530 3530 deviation sadness
## 3531 3531 devil anger
## 3532 3532 devil anticipation
## 3533 3533 devil disgust
## 3534 3534 devil fear
## 3535 3535 devil negative
## 3536 3536 devil sadness
## 3537 3537 devilish disgust
## 3538 3538 devilish fear
## 3539 3539 devilish negative
## 3540 3540 devious negative
## 3541 3541 devolution negative
## 3542 3542 devotional positive
## 3543 3543 devotional trust
## 3544 3544 devour negative
## 3545 3545 devout anticipation
## 3546 3546 devout joy
## 3547 3547 devout positive
## 3548 3548 devout trust
## 3549 3549 dexterity positive
## 3550 3550 diabolical anger
## 3551 3551 diabolical disgust
## 3552 3552 diabolical fear
## 3553 3553 diabolical negative
## 3554 3554 diagnosis anticipation
## 3555 3555 diagnosis fear
## 3556 3556 diagnosis negative
## 3557 3557 diagnosis trust
## 3558 3558 diamond joy
## 3559 3559 diamond positive
## 3560 3560 diaper disgust
## 3561 3561 diarrhoea disgust
## 3562 3562 diary joy
## 3563 3563 diary positive
## 3564 3564 diary trust
## 3565 3565 diatribe anger
## 3566 3566 diatribe disgust
## 3567 3567 diatribe negative
## 3568 3568 dictator fear
## 3569 3569 dictator negative
## 3570 3570 dictatorial anger
## 3571 3571 dictatorial negative
## 3572 3572 dictatorship anger
## 3573 3573 dictatorship anticipation
## 3574 3574 dictatorship disgust
## 3575 3575 dictatorship fear
## 3576 3576 dictatorship negative
## 3577 3577 dictatorship sadness
## 3578 3578 dictionary positive
## 3579 3579 dictionary trust
## 3580 3580 dictum trust
## 3581 3581 didactic positive
## 3582 3582 die fear
## 3583 3583 die negative
## 3584 3584 die sadness
## 3585 3585 dietary anticipation
## 3586 3586 dietary positive
## 3587 3587 differential trust
## 3588 3588 differently surprise
## 3589 3589 difficult fear
## 3590 3590 difficulties negative
## 3591 3591 difficulties sadness
## 3592 3592 difficulty anger
## 3593 3593 difficulty fear
## 3594 3594 difficulty negative
## 3595 3595 difficulty sadness
## 3596 3596 digit trust
## 3597 3597 dignified positive
## 3598 3598 dignity positive
## 3599 3599 dignity trust
## 3600 3600 digress anticipation
## 3601 3601 digress negative
## 3602 3602 dike fear
## 3603 3603 dilapidated disgust
## 3604 3604 dilapidated negative
## 3605 3605 dilapidated sadness
## 3606 3606 diligence positive
## 3607 3607 diligence trust
## 3608 3608 dilute negative
## 3609 3609 diminish negative
## 3610 3610 diminish sadness
## 3611 3611 diminished negative
## 3612 3612 din negative
## 3613 3613 dinner positive
## 3614 3614 dinosaur fear
## 3615 3615 diplomacy anticipation
## 3616 3616 diplomacy positive
## 3617 3617 diplomacy trust
## 3618 3618 diplomatic positive
## 3619 3619 diplomatic trust
## 3620 3620 dire disgust
## 3621 3621 dire fear
## 3622 3622 dire negative
## 3623 3623 dire sadness
## 3624 3624 dire surprise
## 3625 3625 director positive
## 3626 3626 director trust
## 3627 3627 dirt disgust
## 3628 3628 dirt negative
## 3629 3629 dirty disgust
## 3630 3630 dirty negative
## 3631 3631 disability negative
## 3632 3632 disability sadness
## 3633 3633 disable fear
## 3634 3634 disable negative
## 3635 3635 disable sadness
## 3636 3636 disabled fear
## 3637 3637 disabled negative
## 3638 3638 disabled sadness
## 3639 3639 disaffected negative
## 3640 3640 disagree anger
## 3641 3641 disagree negative
## 3642 3642 disagreeing anger
## 3643 3643 disagreeing negative
## 3644 3644 disagreeing sadness
## 3645 3645 disagreement anger
## 3646 3646 disagreement negative
## 3647 3647 disagreement sadness
## 3648 3648 disallowed anger
## 3649 3649 disallowed disgust
## 3650 3650 disallowed fear
## 3651 3651 disallowed negative
## 3652 3652 disallowed sadness
## 3653 3653 disappear fear
## 3654 3654 disappoint anger
## 3655 3655 disappoint disgust
## 3656 3656 disappoint negative
## 3657 3657 disappoint sadness
## 3658 3658 disappointed anger
## 3659 3659 disappointed disgust
## 3660 3660 disappointed negative
## 3661 3661 disappointed sadness
## 3662 3662 disappointing negative
## 3663 3663 disappointing sadness
## 3664 3664 disappointment disgust
## 3665 3665 disappointment negative
## 3666 3666 disappointment sadness
## 3667 3667 disapproval negative
## 3668 3668 disapproval sadness
## 3669 3669 disapprove anger
## 3670 3670 disapprove disgust
## 3671 3671 disapprove fear
## 3672 3672 disapprove negative
## 3673 3673 disapprove sadness
## 3674 3674 disapproved anger
## 3675 3675 disapproved negative
## 3676 3676 disapproved sadness
## 3677 3677 disapproving anger
## 3678 3678 disapproving disgust
## 3679 3679 disapproving negative
## 3680 3680 disapproving sadness
## 3681 3681 disaster anger
## 3682 3682 disaster disgust
## 3683 3683 disaster fear
## 3684 3684 disaster negative
## 3685 3685 disaster sadness
## 3686 3686 disaster surprise
## 3687 3687 disastrous anger
## 3688 3688 disastrous fear
## 3689 3689 disastrous negative
## 3690 3690 disastrous sadness
## 3691 3691 disbelieve negative
## 3692 3692 discards negative
## 3693 3693 discharge negative
## 3694 3694 disciple trust
## 3695 3695 discipline fear
## 3696 3696 discipline negative
## 3697 3697 disclaim anger
## 3698 3698 disclaim disgust
## 3699 3699 disclaim negative
## 3700 3700 disclaim trust
## 3701 3701 disclosed trust
## 3702 3702 discoloration disgust
## 3703 3703 discoloration negative
## 3704 3704 discolored disgust
## 3705 3705 discolored negative
## 3706 3706 discolored sadness
## 3707 3707 discomfort negative
## 3708 3708 discomfort sadness
## 3709 3709 disconnect negative
## 3710 3710 disconnect sadness
## 3711 3711 disconnected negative
## 3712 3712 disconnected sadness
## 3713 3713 disconnection negative
## 3714 3714 discontent anger
## 3715 3715 discontent disgust
## 3716 3716 discontent fear
## 3717 3717 discontent negative
## 3718 3718 discontent sadness
## 3719 3719 discontinue negative
## 3720 3720 discontinuity disgust
## 3721 3721 discontinuity fear
## 3722 3722 discontinuity negative
## 3723 3723 discontinuity sadness
## 3724 3724 discord anger
## 3725 3725 discord disgust
## 3726 3726 discord negative
## 3727 3727 discourage fear
## 3728 3728 discourage negative
## 3729 3729 discourage sadness
## 3730 3730 discouragement negative
## 3731 3731 discovery positive
## 3732 3732 discredit negative
## 3733 3733 discreet anticipation
## 3734 3734 discreet positive
## 3735 3735 discretion anticipation
## 3736 3736 discretion positive
## 3737 3737 discretion trust
## 3738 3738 discretionary positive
## 3739 3739 discriminate anger
## 3740 3740 discriminate negative
## 3741 3741 discriminate sadness
## 3742 3742 discriminating disgust
## 3743 3743 discriminating negative
## 3744 3744 discrimination anger
## 3745 3745 discrimination disgust
## 3746 3746 discrimination fear
## 3747 3747 discrimination negative
## 3748 3748 discrimination sadness
## 3749 3749 discussion positive
## 3750 3750 disdain anger
## 3751 3751 disdain disgust
## 3752 3752 disdain negative
## 3753 3753 disease anger
## 3754 3754 disease disgust
## 3755 3755 disease fear
## 3756 3756 disease negative
## 3757 3757 disease sadness
## 3758 3758 diseased disgust
## 3759 3759 diseased fear
## 3760 3760 diseased negative
## 3761 3761 diseased sadness
## 3762 3762 disembodied fear
## 3763 3763 disembodied negative
## 3764 3764 disembodied sadness
## 3765 3765 disengagement negative
## 3766 3766 disfigured anger
## 3767 3767 disfigured disgust
## 3768 3768 disfigured fear
## 3769 3769 disfigured negative
## 3770 3770 disfigured sadness
## 3771 3771 disgrace anger
## 3772 3772 disgrace disgust
## 3773 3773 disgrace negative
## 3774 3774 disgrace sadness
## 3775 3775 disgraced anger
## 3776 3776 disgraced disgust
## 3777 3777 disgraced negative
## 3778 3778 disgraced sadness
## 3779 3779 disgraceful anger
## 3780 3780 disgraceful disgust
## 3781 3781 disgraceful negative
## 3782 3782 disgruntled anger
## 3783 3783 disgruntled disgust
## 3784 3784 disgruntled negative
## 3785 3785 disgruntled sadness
## 3786 3786 disgust anger
## 3787 3787 disgust disgust
## 3788 3788 disgust fear
## 3789 3789 disgust negative
## 3790 3790 disgust sadness
## 3791 3791 disgusting anger
## 3792 3792 disgusting disgust
## 3793 3793 disgusting fear
## 3794 3794 disgusting negative
## 3795 3795 disheartened negative
## 3796 3796 disheartened sadness
## 3797 3797 disheartening negative
## 3798 3798 disheartening sadness
## 3799 3799 dishonest anger
## 3800 3800 dishonest disgust
## 3801 3801 dishonest negative
## 3802 3802 dishonest sadness
## 3803 3803 dishonesty disgust
## 3804 3804 dishonesty negative
## 3805 3805 dishonor anger
## 3806 3806 dishonor disgust
## 3807 3807 dishonor fear
## 3808 3808 dishonor negative
## 3809 3809 dishonor sadness
## 3810 3810 disillusionment anger
## 3811 3811 disillusionment disgust
## 3812 3812 disillusionment negative
## 3813 3813 disillusionment sadness
## 3814 3814 disinfection positive
## 3815 3815 disinformation anger
## 3816 3816 disinformation fear
## 3817 3817 disinformation negative
## 3818 3818 disingenuous disgust
## 3819 3819 disingenuous negative
## 3820 3820 disintegrate disgust
## 3821 3821 disintegrate fear
## 3822 3822 disintegrate negative
## 3823 3823 disintegration negative
## 3824 3824 disinterested negative
## 3825 3825 dislike anger
## 3826 3826 dislike disgust
## 3827 3827 dislike negative
## 3828 3828 disliked anger
## 3829 3829 disliked negative
## 3830 3830 disliked sadness
## 3831 3831 dislocated anger
## 3832 3832 dislocated disgust
## 3833 3833 dislocated fear
## 3834 3834 dislocated negative
## 3835 3835 dislocated sadness
## 3836 3836 dismal disgust
## 3837 3837 dismal fear
## 3838 3838 dismal negative
## 3839 3839 dismal sadness
## 3840 3840 dismay anger
## 3841 3841 dismay anticipation
## 3842 3842 dismay fear
## 3843 3843 dismay negative
## 3844 3844 dismay sadness
## 3845 3845 dismay surprise
## 3846 3846 dismemberment disgust
## 3847 3847 dismemberment fear
## 3848 3848 dismemberment negative
## 3849 3849 dismemberment sadness
## 3850 3850 dismissal anger
## 3851 3851 dismissal disgust
## 3852 3852 dismissal fear
## 3853 3853 dismissal negative
## 3854 3854 dismissal sadness
## 3855 3855 dismissal surprise
## 3856 3856 disobedience anger
## 3857 3857 disobedience disgust
## 3858 3858 disobedience negative
## 3859 3859 disobedient anger
## 3860 3860 disobedient negative
## 3861 3861 disobey anger
## 3862 3862 disobey disgust
## 3863 3863 disobey negative
## 3864 3864 disorder fear
## 3865 3865 disorder negative
## 3866 3866 disorderly negative
## 3867 3867 disorganized negative
## 3868 3868 disparage anger
## 3869 3869 disparage disgust
## 3870 3870 disparage negative
## 3871 3871 disparage sadness
## 3872 3872 disparaging anger
## 3873 3873 disparaging disgust
## 3874 3874 disparaging negative
## 3875 3875 disparaging sadness
## 3876 3876 disparity anger
## 3877 3877 disparity disgust
## 3878 3878 disparity negative
## 3879 3879 disparity sadness
## 3880 3880 dispassionate negative
## 3881 3881 dispassionate sadness
## 3882 3882 dispel negative
## 3883 3883 dispel sadness
## 3884 3884 dispersion negative
## 3885 3885 displace negative
## 3886 3886 displaced anger
## 3887 3887 displaced fear
## 3888 3888 displaced sadness
## 3889 3889 displeased anger
## 3890 3890 displeased disgust
## 3891 3891 displeased fear
## 3892 3892 displeased negative
## 3893 3893 displeased sadness
## 3894 3894 displeasure disgust
## 3895 3895 displeasure negative
## 3896 3896 disposal negative
## 3897 3897 dispose disgust
## 3898 3898 disposed anticipation
## 3899 3899 disposed positive
## 3900 3900 disposed trust
## 3901 3901 dispossessed anger
## 3902 3902 dispossessed fear
## 3903 3903 dispossessed negative
## 3904 3904 dispossessed sadness
## 3905 3905 dispute anger
## 3906 3906 dispute negative
## 3907 3907 disqualification negative
## 3908 3908 disqualified anger
## 3909 3909 disqualified disgust
## 3910 3910 disqualified negative
## 3911 3911 disqualified sadness
## 3912 3912 disqualify negative
## 3913 3913 disqualify sadness
## 3914 3914 disregard negative
## 3915 3915 disregarded disgust
## 3916 3916 disregarded negative
## 3917 3917 disreputable anger
## 3918 3918 disreputable disgust
## 3919 3919 disreputable fear
## 3920 3920 disreputable negative
## 3921 3921 disrespect anger
## 3922 3922 disrespect negative
## 3923 3923 disrespectful anger
## 3924 3924 disrespectful disgust
## 3925 3925 disrespectful fear
## 3926 3926 disrespectful negative
## 3927 3927 disrespectful sadness
## 3928 3928 disruption anger
## 3929 3929 disruption fear
## 3930 3930 disruption negative
## 3931 3931 disruption surprise
## 3932 3932 dissatisfaction negative
## 3933 3933 dissection disgust
## 3934 3934 disseminate positive
## 3935 3935 dissension anger
## 3936 3936 dissension negative
## 3937 3937 dissenting negative
## 3938 3938 disservice anger
## 3939 3939 disservice disgust
## 3940 3940 disservice negative
## 3941 3941 disservice sadness
## 3942 3942 dissident anger
## 3943 3943 dissident fear
## 3944 3944 dissident negative
## 3945 3945 dissolution anger
## 3946 3946 dissolution fear
## 3947 3947 dissolution negative
## 3948 3948 dissolution sadness
## 3949 3949 dissolution surprise
## 3950 3950 dissonance anger
## 3951 3951 dissonance negative
## 3952 3952 distaste disgust
## 3953 3953 distaste negative
## 3954 3954 distasteful disgust
## 3955 3955 distasteful negative
## 3956 3956 distillation positive
## 3957 3957 distinction positive
## 3958 3958 distorted disgust
## 3959 3959 distorted negative
## 3960 3960 distortion negative
## 3961 3961 distract negative
## 3962 3962 distracted anger
## 3963 3963 distracted negative
## 3964 3964 distracting anger
## 3965 3965 distracting anticipation
## 3966 3966 distracting negative
## 3967 3967 distraction negative
## 3968 3968 distraught negative
## 3969 3969 distraught sadness
## 3970 3970 distress anger
## 3971 3971 distress disgust
## 3972 3972 distress fear
## 3973 3973 distress negative
## 3974 3974 distress sadness
## 3975 3975 distress surprise
## 3976 3976 distressed fear
## 3977 3977 distressed negative
## 3978 3978 distressing anger
## 3979 3979 distressing fear
## 3980 3980 distressing negative
## 3981 3981 distrust anger
## 3982 3982 distrust disgust
## 3983 3983 distrust fear
## 3984 3984 distrust negative
## 3985 3985 disturbance anger
## 3986 3986 disturbance fear
## 3987 3987 disturbance negative
## 3988 3988 disturbance sadness
## 3989 3989 disturbance surprise
## 3990 3990 disturbed anger
## 3991 3991 disturbed negative
## 3992 3992 disturbed sadness
## 3993 3993 disuse negative
## 3994 3994 disused anger
## 3995 3995 disused negative
## 3996 3996 ditty joy
## 3997 3997 ditty positive
## 3998 3998 divan trust
## 3999 3999 divergent negative
## 4000 4000 divergent surprise
## 4001 4001 diverse negative
## 4002 4002 diverse positive
## 4003 4003 diversified positive
## 4004 4004 diversion positive
## 4005 4005 diversion surprise
## 4006 4006 divested negative
## 4007 4007 divestment negative
## 4008 4008 divination anticipation
## 4009 4009 divinity positive
## 4010 4010 divorce anger
## 4011 4011 divorce disgust
## 4012 4012 divorce fear
## 4013 4013 divorce negative
## 4014 4014 divorce sadness
## 4015 4015 divorce surprise
## 4016 4016 divorce trust
## 4017 4017 dizziness negative
## 4018 4018 dizzy negative
## 4019 4019 docked negative
## 4020 4020 doctor positive
## 4021 4021 doctor trust
## 4022 4022 doctrine trust
## 4023 4023 doer positive
## 4024 4024 dogged positive
## 4025 4025 dogma trust
## 4026 4026 doit negative
## 4027 4027 doldrums negative
## 4028 4028 doldrums sadness
## 4029 4029 dole negative
## 4030 4030 dole sadness
## 4031 4031 doll joy
## 4032 4032 dolor negative
## 4033 4033 dolor sadness
## 4034 4034 dolphin joy
## 4035 4035 dolphin positive
## 4036 4036 dolphin surprise
## 4037 4037 dolphin trust
## 4038 4038 dominant fear
## 4039 4039 dominant negative
## 4040 4040 dominate anger
## 4041 4041 dominate fear
## 4042 4042 dominate negative
## 4043 4043 dominate positive
## 4044 4044 domination anger
## 4045 4045 domination fear
## 4046 4046 domination negative
## 4047 4047 domination sadness
## 4048 4048 dominion fear
## 4049 4049 dominion trust
## 4050 4050 don positive
## 4051 4051 don trust
## 4052 4052 donation positive
## 4053 4053 donkey disgust
## 4054 4054 donkey negative
## 4055 4055 doodle negative
## 4056 4056 doom fear
## 4057 4057 doom negative
## 4058 4058 doomed fear
## 4059 4059 doomed negative
## 4060 4060 doomed sadness
## 4061 4061 doomsday anger
## 4062 4062 doomsday anticipation
## 4063 4063 doomsday disgust
## 4064 4064 doomsday fear
## 4065 4065 doomsday negative
## 4066 4066 doomsday sadness
## 4067 4067 doubt fear
## 4068 4068 doubt negative
## 4069 4069 doubt sadness
## 4070 4070 doubt trust
## 4071 4071 doubtful negative
## 4072 4072 doubting negative
## 4073 4073 doubtless positive
## 4074 4074 doubtless trust
## 4075 4075 douche negative
## 4076 4076 dour negative
## 4077 4077 dove anticipation
## 4078 4078 dove joy
## 4079 4079 dove positive
## 4080 4080 dove trust
## 4081 4081 downfall fear
## 4082 4082 downfall negative
## 4083 4083 downfall sadness
## 4084 4084 downright trust
## 4085 4085 downy positive
## 4086 4086 drab negative
## 4087 4087 drab sadness
## 4088 4088 draft anticipation
## 4089 4089 dragon fear
## 4090 4090 drainage negative
## 4091 4091 drawback negative
## 4092 4092 dread anticipation
## 4093 4093 dread fear
## 4094 4094 dread negative
## 4095 4095 dreadful anger
## 4096 4096 dreadful anticipation
## 4097 4097 dreadful disgust
## 4098 4098 dreadful fear
## 4099 4099 dreadful negative
## 4100 4100 dreadful sadness
## 4101 4101 dreadfully disgust
## 4102 4102 dreadfully fear
## 4103 4103 dreadfully negative
## 4104 4104 dreadfully sadness
## 4105 4105 dreadfully surprise
## 4106 4106 dreary negative
## 4107 4107 dreary sadness
## 4108 4108 drinking negative
## 4109 4109 drivel disgust
## 4110 4110 drivel negative
## 4111 4111 drone negative
## 4112 4112 drool disgust
## 4113 4113 drooping negative
## 4114 4114 drought negative
## 4115 4115 drown fear
## 4116 4116 drown negative
## 4117 4117 drown sadness
## 4118 4118 drowsiness negative
## 4119 4119 drudgery negative
## 4120 4120 drugged sadness
## 4121 4121 drunken disgust
## 4122 4122 drunken negative
## 4123 4123 drunkenness negative
## 4124 4124 dubious fear
## 4125 4125 dubious negative
## 4126 4126 dubious trust
## 4127 4127 duel anger
## 4128 4128 duel anticipation
## 4129 4129 duel fear
## 4130 4130 duet positive
## 4131 4131 duke positive
## 4132 4132 dull negative
## 4133 4133 dull sadness
## 4134 4134 dumb negative
## 4135 4135 dummy negative
## 4136 4136 dumps anger
## 4137 4137 dumps negative
## 4138 4138 dumps sadness
## 4139 4139 dun negative
## 4140 4140 dung disgust
## 4141 4141 dungeon fear
## 4142 4142 dungeon negative
## 4143 4143 dupe anger
## 4144 4144 dupe negative
## 4145 4145 duplicity anger
## 4146 4146 duplicity negative
## 4147 4147 durability positive
## 4148 4148 durability trust
## 4149 4149 durable positive
## 4150 4150 durable trust
## 4151 4151 duress anger
## 4152 4152 duress disgust
## 4153 4153 duress fear
## 4154 4154 duress negative
## 4155 4155 duress sadness
## 4156 4156 dust negative
## 4157 4157 dutiful anticipation
## 4158 4158 dutiful positive
## 4159 4159 dutiful trust
## 4160 4160 dwarfed fear
## 4161 4161 dwarfed negative
## 4162 4162 dwarfed sadness
## 4163 4163 dying anger
## 4164 4164 dying disgust
## 4165 4165 dying fear
## 4166 4166 dying negative
## 4167 4167 dying sadness
## 4168 4168 dynamic surprise
## 4169 4169 dysentery disgust
## 4170 4170 dysentery negative
## 4171 4171 dysentery sadness
## 4172 4172 eager anticipation
## 4173 4173 eager joy
## 4174 4174 eager positive
## 4175 4175 eager surprise
## 4176 4176 eager trust
## 4177 4177 eagerness anticipation
## 4178 4178 eagerness joy
## 4179 4179 eagerness positive
## 4180 4180 eagerness trust
## 4181 4181 eagle trust
## 4182 4182 earl positive
## 4183 4183 earn positive
## 4184 4184 earnest positive
## 4185 4185 earnestly positive
## 4186 4186 earnestness positive
## 4187 4187 earthquake anger
## 4188 4188 earthquake fear
## 4189 4189 earthquake negative
## 4190 4190 earthquake sadness
## 4191 4191 earthquake surprise
## 4192 4192 ease positive
## 4193 4193 easement positive
## 4194 4194 easygoing positive
## 4195 4195 eat positive
## 4196 4196 eavesdropping negative
## 4197 4197 economy trust
## 4198 4198 ecstasy anticipation
## 4199 4199 ecstasy joy
## 4200 4200 ecstasy positive
## 4201 4201 ecstatic anticipation
## 4202 4202 ecstatic joy
## 4203 4203 ecstatic positive
## 4204 4204 ecstatic surprise
## 4205 4205 edict fear
## 4206 4206 edict negative
## 4207 4207 edification anticipation
## 4208 4208 edification joy
## 4209 4209 edification positive
## 4210 4210 edification trust
## 4211 4211 edition anticipation
## 4212 4212 educate positive
## 4213 4213 educated positive
## 4214 4214 educational positive
## 4215 4215 educational trust
## 4216 4216 eel fear
## 4217 4217 effective positive
## 4218 4218 effective trust
## 4219 4219 effeminate negative
## 4220 4220 efficacy positive
## 4221 4221 efficiency positive
## 4222 4222 efficient anticipation
## 4223 4223 efficient positive
## 4224 4224 efficient trust
## 4225 4225 effigy anger
## 4226 4226 effort positive
## 4227 4227 egotistical disgust
## 4228 4228 egotistical negative
## 4229 4229 egregious anger
## 4230 4230 egregious disgust
## 4231 4231 egregious negative
## 4232 4232 ejaculation anticipation
## 4233 4233 ejaculation joy
## 4234 4234 ejaculation positive
## 4235 4235 ejaculation surprise
## 4236 4236 ejaculation trust
## 4237 4237 eject negative
## 4238 4238 ejection negative
## 4239 4239 elaboration positive
## 4240 4240 elated joy
## 4241 4241 elated positive
## 4242 4242 elbow anger
## 4243 4243 elder positive
## 4244 4244 elder trust
## 4245 4245 elders positive
## 4246 4246 elders trust
## 4247 4247 elect positive
## 4248 4248 elect trust
## 4249 4249 electorate trust
## 4250 4250 electric joy
## 4251 4251 electric positive
## 4252 4252 electric surprise
## 4253 4253 electricity positive
## 4254 4254 elegance anticipation
## 4255 4255 elegance joy
## 4256 4256 elegance positive
## 4257 4257 elegance trust
## 4258 4258 elegant joy
## 4259 4259 elegant positive
## 4260 4260 elevation anticipation
## 4261 4261 elevation fear
## 4262 4262 elevation joy
## 4263 4263 elevation positive
## 4264 4264 elevation trust
## 4265 4265 elf anger
## 4266 4266 elf disgust
## 4267 4267 elf fear
## 4268 4268 eligible positive
## 4269 4269 elimination anger
## 4270 4270 elimination disgust
## 4271 4271 elimination fear
## 4272 4272 elimination negative
## 4273 4273 elimination sadness
## 4274 4274 elite anticipation
## 4275 4275 elite joy
## 4276 4276 elite positive
## 4277 4277 elite trust
## 4278 4278 eloquence positive
## 4279 4279 eloquent positive
## 4280 4280 elucidate positive
## 4281 4281 elucidate trust
## 4282 4282 elusive negative
## 4283 4283 elusive surprise
## 4284 4284 emaciated fear
## 4285 4285 emaciated negative
## 4286 4286 emaciated sadness
## 4287 4287 emancipation anticipation
## 4288 4288 emancipation joy
## 4289 4289 emancipation positive
## 4290 4290 embargo negative
## 4291 4291 embarrass negative
## 4292 4292 embarrass sadness
## 4293 4293 embarrassing negative
## 4294 4294 embarrassment fear
## 4295 4295 embarrassment negative
## 4296 4296 embarrassment sadness
## 4297 4297 embarrassment surprise
## 4298 4298 embezzlement negative
## 4299 4299 embolism fear
## 4300 4300 embolism negative
## 4301 4301 embolism sadness
## 4302 4302 embrace anticipation
## 4303 4303 embrace joy
## 4304 4304 embrace positive
## 4305 4305 embrace surprise
## 4306 4306 embrace trust
## 4307 4307 embroiled negative
## 4308 4308 emergency fear
## 4309 4309 emergency negative
## 4310 4310 emergency sadness
## 4311 4311 emergency surprise
## 4312 4312 emeritus positive
## 4313 4313 eminence positive
## 4314 4314 eminence trust
## 4315 4315 eminent positive
## 4316 4316 eminently positive
## 4317 4317 emir positive
## 4318 4318 empathy positive
## 4319 4319 emphasize trust
## 4320 4320 employ trust
## 4321 4321 empower positive
## 4322 4322 emptiness sadness
## 4323 4323 emulate positive
## 4324 4324 enable positive
## 4325 4325 enable trust
## 4326 4326 enablement positive
## 4327 4327 enablement trust
## 4328 4328 enchant anticipation
## 4329 4329 enchant joy
## 4330 4330 enchant positive
## 4331 4331 enchant surprise
## 4332 4332 enchanted joy
## 4333 4333 enchanted positive
## 4334 4334 enchanted trust
## 4335 4335 enchanting anticipation
## 4336 4336 enchanting joy
## 4337 4337 enchanting positive
## 4338 4338 enclave negative
## 4339 4339 encore positive
## 4340 4340 encourage joy
## 4341 4341 encourage positive
## 4342 4342 encourage trust
## 4343 4343 encouragement positive
## 4344 4344 encroachment fear
## 4345 4345 encroachment negative
## 4346 4346 encumbrance anger
## 4347 4347 encumbrance fear
## 4348 4348 encumbrance negative
## 4349 4349 encumbrance sadness
## 4350 4350 encyclopedia positive
## 4351 4351 encyclopedia trust
## 4352 4352 endanger anticipation
## 4353 4353 endanger fear
## 4354 4354 endanger negative
## 4355 4355 endangered fear
## 4356 4356 endangered negative
## 4357 4357 endeavor anticipation
## 4358 4358 endeavor positive
## 4359 4359 endemic disgust
## 4360 4360 endemic fear
## 4361 4361 endemic negative
## 4362 4362 endemic sadness
## 4363 4363 endless anger
## 4364 4364 endless fear
## 4365 4365 endless joy
## 4366 4366 endless negative
## 4367 4367 endless positive
## 4368 4368 endless sadness
## 4369 4369 endless trust
## 4370 4370 endocarditis fear
## 4371 4371 endocarditis sadness
## 4372 4372 endow positive
## 4373 4373 endow trust
## 4374 4374 endowed positive
## 4375 4375 endowment positive
## 4376 4376 endowment trust
## 4377 4377 endurance positive
## 4378 4378 endure positive
## 4379 4379 enema disgust
## 4380 4380 enemy anger
## 4381 4381 enemy disgust
## 4382 4382 enemy fear
## 4383 4383 enemy negative
## 4384 4384 energetic positive
## 4385 4385 enforce anger
## 4386 4386 enforce fear
## 4387 4387 enforce negative
## 4388 4388 enforce positive
## 4389 4389 enforcement negative
## 4390 4390 engaged anticipation
## 4391 4391 engaged joy
## 4392 4392 engaged positive
## 4393 4393 engaged trust
## 4394 4394 engaging joy
## 4395 4395 engaging positive
## 4396 4396 engaging trust
## 4397 4397 engulf anticipation
## 4398 4398 enhance positive
## 4399 4399 enigmatic fear
## 4400 4400 enigmatic negative
## 4401 4401 enjoy anticipation
## 4402 4402 enjoy joy
## 4403 4403 enjoy positive
## 4404 4404 enjoy trust
## 4405 4405 enjoying anticipation
## 4406 4406 enjoying joy
## 4407 4407 enjoying positive
## 4408 4408 enjoying trust
## 4409 4409 enlighten joy
## 4410 4410 enlighten positive
## 4411 4411 enlighten trust
## 4412 4412 enlightenment joy
## 4413 4413 enlightenment positive
## 4414 4414 enlightenment trust
## 4415 4415 enliven joy
## 4416 4416 enliven positive
## 4417 4417 enliven surprise
## 4418 4418 enliven trust
## 4419 4419 enmity anger
## 4420 4420 enmity fear
## 4421 4421 enmity negative
## 4422 4422 enmity sadness
## 4423 4423 enrich positive
## 4424 4424 enroll anticipation
## 4425 4425 enroll trust
## 4426 4426 ensemble positive
## 4427 4427 ensemble trust
## 4428 4428 ensign positive
## 4429 4429 enslave negative
## 4430 4430 enslaved anger
## 4431 4431 enslaved disgust
## 4432 4432 enslaved fear
## 4433 4433 enslaved negative
## 4434 4434 enslaved sadness
## 4435 4435 enslavement negative
## 4436 4436 entangled anger
## 4437 4437 entangled disgust
## 4438 4438 entangled fear
## 4439 4439 entangled negative
## 4440 4440 entangled sadness
## 4441 4441 entanglement negative
## 4442 4442 enterprising positive
## 4443 4443 entertain joy
## 4444 4444 entertain positive
## 4445 4445 entertained joy
## 4446 4446 entertained positive
## 4447 4447 entertaining anticipation
## 4448 4448 entertaining joy
## 4449 4449 entertaining positive
## 4450 4450 entertainment anticipation
## 4451 4451 entertainment joy
## 4452 4452 entertainment positive
## 4453 4453 entertainment surprise
## 4454 4454 entertainment trust
## 4455 4455 enthusiasm anticipation
## 4456 4456 enthusiasm joy
## 4457 4457 enthusiasm positive
## 4458 4458 enthusiasm surprise
## 4459 4459 enthusiast anticipation
## 4460 4460 enthusiast joy
## 4461 4461 enthusiast positive
## 4462 4462 enthusiast surprise
## 4463 4463 entrails disgust
## 4464 4464 entrails negative
## 4465 4465 entrust trust
## 4466 4466 envious negative
## 4467 4467 environ positive
## 4468 4468 ephemeris positive
## 4469 4469 epic positive
## 4470 4470 epidemic anger
## 4471 4471 epidemic anticipation
## 4472 4472 epidemic disgust
## 4473 4473 epidemic fear
## 4474 4474 epidemic negative
## 4475 4475 epidemic sadness
## 4476 4476 epidemic surprise
## 4477 4477 epilepsy negative
## 4478 4478 episcopal trust
## 4479 4479 epitaph sadness
## 4480 4480 epitome positive
## 4481 4481 equality joy
## 4482 4482 equality positive
## 4483 4483 equality trust
## 4484 4484 equally positive
## 4485 4485 equilibrium positive
## 4486 4486 equity positive
## 4487 4487 eradicate anger
## 4488 4488 eradicate negative
## 4489 4489 eradication anger
## 4490 4490 eradication disgust
## 4491 4491 eradication fear
## 4492 4492 eradication negative
## 4493 4493 erase fear
## 4494 4494 erase negative
## 4495 4495 erosion negative
## 4496 4496 erotic anticipation
## 4497 4497 erotic joy
## 4498 4498 erotic negative
## 4499 4499 erotic positive
## 4500 4500 erotic surprise
## 4501 4501 erotic trust
## 4502 4502 err negative
## 4503 4503 errand anticipation
## 4504 4504 errand positive
## 4505 4505 errand trust
## 4506 4506 errant negative
## 4507 4507 erratic negative
## 4508 4508 erratic surprise
## 4509 4509 erratum negative
## 4510 4510 erroneous negative
## 4511 4511 error negative
## 4512 4512 error sadness
## 4513 4513 erudite positive
## 4514 4514 erupt anger
## 4515 4515 erupt negative
## 4516 4516 erupt surprise
## 4517 4517 eruption anger
## 4518 4518 eruption fear
## 4519 4519 eruption negative
## 4520 4520 eruption surprise
## 4521 4521 escalate anger
## 4522 4522 escalate negative
## 4523 4523 escape anticipation
## 4524 4524 escape fear
## 4525 4525 escape negative
## 4526 4526 escape positive
## 4527 4527 escaped fear
## 4528 4528 eschew anger
## 4529 4529 eschew negative
## 4530 4530 eschew sadness
## 4531 4531 escort trust
## 4532 4532 espionage negative
## 4533 4533 esprit positive
## 4534 4534 essential positive
## 4535 4535 establish trust
## 4536 4536 established joy
## 4537 4537 established positive
## 4538 4538 esteem joy
## 4539 4539 esteem positive
## 4540 4540 esteem sadness
## 4541 4541 esteem trust
## 4542 4542 esthetic positive
## 4543 4543 estranged negative
## 4544 4544 ethereal fear
## 4545 4545 ethical positive
## 4546 4546 ethics positive
## 4547 4547 euthanasia fear
## 4548 4548 euthanasia negative
## 4549 4549 euthanasia sadness
## 4550 4550 evacuate fear
## 4551 4551 evacuate negative
## 4552 4552 evacuation negative
## 4553 4553 evade anger
## 4554 4554 evade disgust
## 4555 4555 evade fear
## 4556 4556 evade negative
## 4557 4557 evanescence sadness
## 4558 4558 evanescence surprise
## 4559 4559 evasion fear
## 4560 4560 evasion negative
## 4561 4561 evasion sadness
## 4562 4562 eventual anticipation
## 4563 4563 eventuality anticipation
## 4564 4564 eventuality fear
## 4565 4565 evergreen joy
## 4566 4566 evergreen positive
## 4567 4567 evergreen trust
## 4568 4568 everlasting positive
## 4569 4569 evict negative
## 4570 4570 evict sadness
## 4571 4571 eviction anger
## 4572 4572 eviction disgust
## 4573 4573 eviction fear
## 4574 4574 eviction negative
## 4575 4575 eviction sadness
## 4576 4576 evident positive
## 4577 4577 evident trust
## 4578 4578 evil anger
## 4579 4579 evil disgust
## 4580 4580 evil fear
## 4581 4581 evil negative
## 4582 4582 evil sadness
## 4583 4583 evolution positive
## 4584 4584 exacerbate negative
## 4585 4585 exacerbation anger
## 4586 4586 exacerbation fear
## 4587 4587 exacerbation negative
## 4588 4588 exacting negative
## 4589 4589 exaggerate anger
## 4590 4590 exaggerate negative
## 4591 4591 exaggerated negative
## 4592 4592 exalt anticipation
## 4593 4593 exalt joy
## 4594 4594 exalt positive
## 4595 4595 exalt trust
## 4596 4596 exaltation joy
## 4597 4597 exaltation positive
## 4598 4598 exaltation trust
## 4599 4599 exalted joy
## 4600 4600 exalted positive
## 4601 4601 exalted trust
## 4602 4602 examination fear
## 4603 4603 examination negative
## 4604 4604 examination surprise
## 4605 4605 exasperation anger
## 4606 4606 exasperation disgust
## 4607 4607 exasperation negative
## 4608 4608 excavation anticipation
## 4609 4609 excavation negative
## 4610 4610 excavation surprise
## 4611 4611 exceed anticipation
## 4612 4612 exceed joy
## 4613 4613 exceed positive
## 4614 4614 excel anticipation
## 4615 4615 excel joy
## 4616 4616 excel positive
## 4617 4617 excel surprise
## 4618 4618 excel trust
## 4619 4619 excellence disgust
## 4620 4620 excellence joy
## 4621 4621 excellence positive
## 4622 4622 excellence trust
## 4623 4623 excellent joy
## 4624 4624 excellent positive
## 4625 4625 excellent trust
## 4626 4626 excess negative
## 4627 4627 exchange positive
## 4628 4628 exchange trust
## 4629 4629 excise negative
## 4630 4630 excitable positive
## 4631 4631 excitation anger
## 4632 4632 excitation anticipation
## 4633 4633 excitation fear
## 4634 4634 excitation joy
## 4635 4635 excitation positive
## 4636 4636 excitation surprise
## 4637 4637 excite anger
## 4638 4638 excite anticipation
## 4639 4639 excite fear
## 4640 4640 excite joy
## 4641 4641 excite positive
## 4642 4642 excite surprise
## 4643 4643 excited anticipation
## 4644 4644 excited joy
## 4645 4645 excited positive
## 4646 4646 excited surprise
## 4647 4647 excited trust
## 4648 4648 excitement anticipation
## 4649 4649 excitement joy
## 4650 4650 excitement positive
## 4651 4651 excitement surprise
## 4652 4652 exciting anticipation
## 4653 4653 exciting joy
## 4654 4654 exciting positive
## 4655 4655 exciting surprise
## 4656 4656 exclaim surprise
## 4657 4657 excluded disgust
## 4658 4658 excluded negative
## 4659 4659 excluded sadness
## 4660 4660 excluding negative
## 4661 4661 excluding sadness
## 4662 4662 exclusion disgust
## 4663 4663 exclusion fear
## 4664 4664 exclusion negative
## 4665 4665 exclusion sadness
## 4666 4666 excrement disgust
## 4667 4667 excrement negative
## 4668 4668 excretion disgust
## 4669 4669 excruciating fear
## 4670 4670 excruciating negative
## 4671 4671 excuse negative
## 4672 4672 execution anger
## 4673 4673 execution fear
## 4674 4674 execution negative
## 4675 4675 execution sadness
## 4676 4676 execution trust
## 4677 4677 executioner anger
## 4678 4678 executioner fear
## 4679 4679 executioner negative
## 4680 4680 executioner sadness
## 4681 4681 executor trust
## 4682 4682 exemplary positive
## 4683 4683 exemption positive
## 4684 4684 exhaust negative
## 4685 4685 exhausted negative
## 4686 4686 exhausted sadness
## 4687 4687 exhaustion anticipation
## 4688 4688 exhaustion negative
## 4689 4689 exhaustion sadness
## 4690 4690 exhaustive trust
## 4691 4691 exhilaration joy
## 4692 4692 exhilaration positive
## 4693 4693 exhilaration surprise
## 4694 4694 exhort positive
## 4695 4695 exhortation positive
## 4696 4696 exigent anticipation
## 4697 4697 exigent disgust
## 4698 4698 exigent fear
## 4699 4699 exigent negative
## 4700 4700 exigent surprise
## 4701 4701 exile anger
## 4702 4702 exile fear
## 4703 4703 exile negative
## 4704 4704 exile sadness
## 4705 4705 existence positive
## 4706 4706 exorcism fear
## 4707 4707 exorcism negative
## 4708 4708 exorcism sadness
## 4709 4709 exotic positive
## 4710 4710 expatriate negative
## 4711 4711 expect anticipation
## 4712 4712 expect positive
## 4713 4713 expect surprise
## 4714 4714 expect trust
## 4715 4715 expectancy anticipation
## 4716 4716 expectant anticipation
## 4717 4717 expectation anticipation
## 4718 4718 expectation positive
## 4719 4719 expected anticipation
## 4720 4720 expecting anticipation
## 4721 4721 expedient joy
## 4722 4722 expedient positive
## 4723 4723 expedient trust
## 4724 4724 expedition anticipation
## 4725 4725 expedition positive
## 4726 4726 expel anger
## 4727 4727 expel disgust
## 4728 4728 expel fear
## 4729 4729 expel negative
## 4730 4730 expel sadness
## 4731 4731 expenditure negative
## 4732 4732 expenses negative
## 4733 4733 experienced positive
## 4734 4734 experienced trust
## 4735 4735 experiment anticipation
## 4736 4736 experiment surprise
## 4737 4737 expert positive
## 4738 4738 expert trust
## 4739 4739 expertise positive
## 4740 4740 expertise trust
## 4741 4741 expire negative
## 4742 4742 expire sadness
## 4743 4743 expired negative
## 4744 4744 explain positive
## 4745 4745 explain trust
## 4746 4746 expletive anger
## 4747 4747 expletive negative
## 4748 4748 explode anger
## 4749 4749 explode fear
## 4750 4750 explode negative
## 4751 4751 explode sadness
## 4752 4752 explode surprise
## 4753 4753 explore anticipation
## 4754 4754 explosion fear
## 4755 4755 explosion negative
## 4756 4756 explosion surprise
## 4757 4757 explosive anger
## 4758 4758 explosive anticipation
## 4759 4759 explosive fear
## 4760 4760 explosive negative
## 4761 4761 explosive surprise
## 4762 4762 expose anticipation
## 4763 4763 expose fear
## 4764 4764 exposed negative
## 4765 4765 expropriation negative
## 4766 4766 expulsion anger
## 4767 4767 expulsion disgust
## 4768 4768 expulsion fear
## 4769 4769 expulsion negative
## 4770 4770 expulsion sadness
## 4771 4771 exquisite joy
## 4772 4772 exquisite positive
## 4773 4773 exquisitely positive
## 4774 4774 extend positive
## 4775 4775 extensive positive
## 4776 4776 exterminate fear
## 4777 4777 exterminate negative
## 4778 4778 exterminate sadness
## 4779 4779 extermination anger
## 4780 4780 extermination fear
## 4781 4781 extermination negative
## 4782 4782 extinct negative
## 4783 4783 extinct sadness
## 4784 4784 extinguish anger
## 4785 4785 extinguish negative
## 4786 4786 extra positive
## 4787 4787 extrajudicial fear
## 4788 4788 extrajudicial negative
## 4789 4789 extraordinary positive
## 4790 4790 extremity negative
## 4791 4791 extricate anticipation
## 4792 4792 extricate positive
## 4793 4793 exuberance joy
## 4794 4794 exuberance positive
## 4795 4795 eyewitness trust
## 4796 4796 fabricate negative
## 4797 4797 fabrication negative
## 4798 4798 fabrication trust
## 4799 4799 facilitate positive
## 4800 4800 fact trust
## 4801 4801 facts positive
## 4802 4802 facts trust
## 4803 4803 faculty positive
## 4804 4804 faculty trust
## 4805 4805 fade negative
## 4806 4806 faeces disgust
## 4807 4807 faeces negative
## 4808 4808 failing anger
## 4809 4809 failing anticipation
## 4810 4810 failing fear
## 4811 4811 failing negative
## 4812 4812 failing sadness
## 4813 4813 failure disgust
## 4814 4814 failure fear
## 4815 4815 failure negative
## 4816 4816 failure sadness
## 4817 4817 fain anticipation
## 4818 4818 fain joy
## 4819 4819 fain positive
## 4820 4820 fain trust
## 4821 4821 fainting fear
## 4822 4822 fainting negative
## 4823 4823 fainting sadness
## 4824 4824 fainting surprise
## 4825 4825 fair positive
## 4826 4826 fairly positive
## 4827 4827 fairly trust
## 4828 4828 faith anticipation
## 4829 4829 faith joy
## 4830 4830 faith positive
## 4831 4831 faith trust
## 4832 4832 faithful positive
## 4833 4833 faithful trust
## 4834 4834 faithless negative
## 4835 4835 faithless sadness
## 4836 4836 fake negative
## 4837 4837 fall negative
## 4838 4838 fall sadness
## 4839 4839 fallacious anger
## 4840 4840 fallacious negative
## 4841 4841 fallacy negative
## 4842 4842 fallible negative
## 4843 4843 falling negative
## 4844 4844 falling sadness
## 4845 4845 fallow negative
## 4846 4846 falsehood anger
## 4847 4847 falsehood negative
## 4848 4848 falsehood trust
## 4849 4849 falsely negative
## 4850 4850 falsification anger
## 4851 4851 falsification negative
## 4852 4852 falsify disgust
## 4853 4853 falsify negative
## 4854 4854 falsity disgust
## 4855 4855 falsity negative
## 4856 4856 falter fear
## 4857 4857 falter negative
## 4858 4858 fame positive
## 4859 4859 familiar positive
## 4860 4860 familiar trust
## 4861 4861 familiarity anticipation
## 4862 4862 familiarity joy
## 4863 4863 familiarity positive
## 4864 4864 familiarity trust
## 4865 4865 famine negative
## 4866 4866 famine sadness
## 4867 4867 famous positive
## 4868 4868 famously positive
## 4869 4869 fanatic negative
## 4870 4870 fanaticism fear
## 4871 4871 fancy anticipation
## 4872 4872 fancy joy
## 4873 4873 fancy positive
## 4874 4874 fanfare anticipation
## 4875 4875 fanfare joy
## 4876 4876 fanfare positive
## 4877 4877 fanfare surprise
## 4878 4878 fang fear
## 4879 4879 fangs fear
## 4880 4880 farce negative
## 4881 4881 farcical disgust
## 4882 4882 farcical negative
## 4883 4883 farm anticipation
## 4884 4884 fascinating positive
## 4885 4885 fascination positive
## 4886 4886 fashionable positive
## 4887 4887 fasting negative
## 4888 4888 fasting sadness
## 4889 4889 fat disgust
## 4890 4890 fat negative
## 4891 4891 fat sadness
## 4892 4892 fatal anger
## 4893 4893 fatal fear
## 4894 4894 fatal negative
## 4895 4895 fatal sadness
## 4896 4896 fatality fear
## 4897 4897 fatality negative
## 4898 4898 fatality sadness
## 4899 4899 fate anticipation
## 4900 4900 fate negative
## 4901 4901 father trust
## 4902 4902 fatigue negative
## 4903 4903 fatigued negative
## 4904 4904 fatigued sadness
## 4905 4905 fatty disgust
## 4906 4906 fatty negative
## 4907 4907 fatty sadness
## 4908 4908 fault negative
## 4909 4909 fault sadness
## 4910 4910 faultless positive
## 4911 4911 faultless trust
## 4912 4912 faulty negative
## 4913 4913 favorable anticipation
## 4914 4914 favorable joy
## 4915 4915 favorable positive
## 4916 4916 favorable surprise
## 4917 4917 favorable trust
## 4918 4918 favorite joy
## 4919 4919 favorite positive
## 4920 4920 favorite trust
## 4921 4921 favoritism positive
## 4922 4922 fawn negative
## 4923 4923 fear anger
## 4924 4924 fear fear
## 4925 4925 fear negative
## 4926 4926 fearful fear
## 4927 4927 fearful negative
## 4928 4928 fearful sadness
## 4929 4929 fearfully fear
## 4930 4930 fearfully negative
## 4931 4931 fearfully sadness
## 4932 4932 fearfully surprise
## 4933 4933 fearing fear
## 4934 4934 fearing negative
## 4935 4935 fearless fear
## 4936 4936 fearless positive
## 4937 4937 feat anticipation
## 4938 4938 feat joy
## 4939 4939 feat positive
## 4940 4940 feat surprise
## 4941 4941 feature positive
## 4942 4942 febrile negative
## 4943 4943 fecal disgust
## 4944 4944 fecal negative
## 4945 4945 feces disgust
## 4946 4946 feces negative
## 4947 4947 fee anger
## 4948 4948 fee negative
## 4949 4949 feeble negative
## 4950 4950 feeble sadness
## 4951 4951 feeling anger
## 4952 4952 feeling anticipation
## 4953 4953 feeling disgust
## 4954 4954 feeling fear
## 4955 4955 feeling joy
## 4956 4956 feeling negative
## 4957 4957 feeling positive
## 4958 4958 feeling sadness
## 4959 4959 feeling surprise
## 4960 4960 feeling trust
## 4961 4961 feigned negative
## 4962 4962 felicity joy
## 4963 4963 felicity positive
## 4964 4964 fell negative
## 4965 4965 fell sadness
## 4966 4966 fellow positive
## 4967 4967 fellow trust
## 4968 4968 fellowship positive
## 4969 4969 felon fear
## 4970 4970 felon negative
## 4971 4971 felony negative
## 4972 4972 fenced anger
## 4973 4973 fender trust
## 4974 4974 ferment anticipation
## 4975 4975 ferment negative
## 4976 4976 fermentation anticipation
## 4977 4977 ferocious anger
## 4978 4978 ferocious disgust
## 4979 4979 ferocious fear
## 4980 4980 ferocious negative
## 4981 4981 ferocity anger
## 4982 4982 ferocity negative
## 4983 4983 fertile positive
## 4984 4984 fervor anger
## 4985 4985 fervor joy
## 4986 4986 fervor positive
## 4987 4987 festival anticipation
## 4988 4988 festival joy
## 4989 4989 festival positive
## 4990 4990 festival surprise
## 4991 4991 festive joy
## 4992 4992 festive positive
## 4993 4993 fete anticipation
## 4994 4994 fete joy
## 4995 4995 fete positive
## 4996 4996 fete surprise
## 4997 4997 feud anger
## 4998 4998 feud negative
## 4999 4999 feudal negative
## 5000 5000 feudalism anger
## 5001 5001 feudalism negative
## 5002 5002 feudalism sadness
## 5003 5003 fever fear
## 5004 5004 feverish negative
## 5005 5005 fiasco negative
## 5006 5006 fib anger
## 5007 5007 fib negative
## 5008 5008 fickle negative
## 5009 5009 fictitious negative
## 5010 5010 fidelity joy
## 5011 5011 fidelity positive
## 5012 5012 fidelity trust
## 5013 5013 fiend anger
## 5014 5014 fiend disgust
## 5015 5015 fiend fear
## 5016 5016 fiend negative
## 5017 5017 fierce anger
## 5018 5018 fierce disgust
## 5019 5019 fierce fear
## 5020 5020 fierce negative
## 5021 5021 fiesta anticipation
## 5022 5022 fiesta joy
## 5023 5023 fiesta positive
## 5024 5024 fiesta surprise
## 5025 5025 fiesta trust
## 5026 5026 fight anger
## 5027 5027 fight fear
## 5028 5028 fight negative
## 5029 5029 fighting anger
## 5030 5030 fighting negative
## 5031 5031 filibuster negative
## 5032 5032 fill trust
## 5033 5033 filth disgust
## 5034 5034 filth negative
## 5035 5035 filthy disgust
## 5036 5036 filthy negative
## 5037 5037 finally anticipation
## 5038 5038 finally disgust
## 5039 5039 finally joy
## 5040 5040 finally positive
## 5041 5041 finally surprise
## 5042 5042 finally trust
## 5043 5043 finery positive
## 5044 5044 finesse positive
## 5045 5045 fire fear
## 5046 5046 firearms anger
## 5047 5047 firearms fear
## 5048 5048 firearms negative
## 5049 5049 fireball positive
## 5050 5050 fireman trust
## 5051 5051 fireproof positive
## 5052 5052 firmness positive
## 5053 5053 firmness trust
## 5054 5054 firstborn anticipation
## 5055 5055 firstborn joy
## 5056 5056 firstborn positive
## 5057 5057 firstborn trust
## 5058 5058 fits anger
## 5059 5059 fits negative
## 5060 5060 fitting anticipation
## 5061 5061 fitting joy
## 5062 5062 fitting positive
## 5063 5063 fitting trust
## 5064 5064 fixed trust
## 5065 5065 fixture positive
## 5066 5066 flabby disgust
## 5067 5067 flabby negative
## 5068 5068 flaccid negative
## 5069 5069 flaccid sadness
## 5070 5070 flagging negative
## 5071 5071 flagrant anger
## 5072 5072 flagrant disgust
## 5073 5073 flagrant negative
## 5074 5074 flagship trust
## 5075 5075 flake negative
## 5076 5076 flange trust
## 5077 5077 flap negative
## 5078 5078 flattering joy
## 5079 5079 flattering positive
## 5080 5080 flatulence disgust
## 5081 5081 flatulence negative
## 5082 5082 flaunt negative
## 5083 5083 flaw negative
## 5084 5084 flaw sadness
## 5085 5085 flea disgust
## 5086 5086 flea negative
## 5087 5087 fled fear
## 5088 5088 flee fear
## 5089 5089 flee negative
## 5090 5090 fleece anger
## 5091 5091 fleece disgust
## 5092 5092 fleece negative
## 5093 5093 fleece sadness
## 5094 5094 fleet positive
## 5095 5095 flesh disgust
## 5096 5096 fleshy negative
## 5097 5097 flexibility positive
## 5098 5098 flinch anticipation
## 5099 5099 flinch disgust
## 5100 5100 flinch fear
## 5101 5101 flinch negative
## 5102 5102 flinch sadness
## 5103 5103 flinch surprise
## 5104 5104 flirt anticipation
## 5105 5105 flirt joy
## 5106 5106 flirt negative
## 5107 5107 flirt positive
## 5108 5108 flirt surprise
## 5109 5109 flirt trust
## 5110 5110 flog anger
## 5111 5111 flog disgust
## 5112 5112 flog fear
## 5113 5113 flog negative
## 5114 5114 flog sadness
## 5115 5115 flood fear
## 5116 5116 flop disgust
## 5117 5117 flop negative
## 5118 5118 flop sadness
## 5119 5119 floral positive
## 5120 5120 flounder fear
## 5121 5121 flounder negative
## 5122 5122 flounder sadness
## 5123 5123 flow positive
## 5124 5124 flowery positive
## 5125 5125 flu fear
## 5126 5126 flu negative
## 5127 5127 fluctuation anger
## 5128 5128 fluctuation fear
## 5129 5129 fluctuation negative
## 5130 5130 fluke surprise
## 5131 5131 flush positive
## 5132 5132 flying fear
## 5133 5133 flying positive
## 5134 5134 focus positive
## 5135 5135 foe anger
## 5136 5136 foe fear
## 5137 5137 foe negative
## 5138 5138 foiled negative
## 5139 5139 follower trust
## 5140 5140 folly negative
## 5141 5141 fondness joy
## 5142 5142 fondness positive
## 5143 5143 food joy
## 5144 5144 food positive
## 5145 5145 food trust
## 5146 5146 fool disgust
## 5147 5147 fool negative
## 5148 5148 foolish negative
## 5149 5149 foolishness negative
## 5150 5150 football anticipation
## 5151 5151 football joy
## 5152 5152 football positive
## 5153 5153 footing trust
## 5154 5154 forage negative
## 5155 5155 foray anger
## 5156 5156 foray negative
## 5157 5157 forbearance positive
## 5158 5158 forbid negative
## 5159 5159 forbid sadness
## 5160 5160 forbidding anger
## 5161 5161 forbidding fear
## 5162 5162 forbidding negative
## 5163 5163 force anger
## 5164 5164 force fear
## 5165 5165 force negative
## 5166 5166 forced fear
## 5167 5167 forced negative
## 5168 5168 forcibly anger
## 5169 5169 forcibly fear
## 5170 5170 forcibly negative
## 5171 5171 fore positive
## 5172 5172 forearm anger
## 5173 5173 forearm anticipation
## 5174 5174 foreboding anticipation
## 5175 5175 foreboding fear
## 5176 5176 foreboding negative
## 5177 5177 forecast anticipation
## 5178 5178 forecast trust
## 5179 5179 foreclose fear
## 5180 5180 foreclose negative
## 5181 5181 foreclose sadness
## 5182 5182 forefathers joy
## 5183 5183 forefathers positive
## 5184 5184 forefathers trust
## 5185 5185 forego negative
## 5186 5186 foregoing positive
## 5187 5187 foreign negative
## 5188 5188 foreigner fear
## 5189 5189 foreigner negative
## 5190 5190 foreman positive
## 5191 5191 forerunner positive
## 5192 5192 foresee anticipation
## 5193 5193 foresee positive
## 5194 5194 foresee surprise
## 5195 5195 foresee trust
## 5196 5196 foreseen anticipation
## 5197 5197 foreseen positive
## 5198 5198 foresight anticipation
## 5199 5199 foresight positive
## 5200 5200 foresight trust
## 5201 5201 forewarned anticipation
## 5202 5202 forewarned fear
## 5203 5203 forewarned negative
## 5204 5204 forfeit anger
## 5205 5205 forfeit negative
## 5206 5206 forfeit sadness
## 5207 5207 forfeited negative
## 5208 5208 forfeiture fear
## 5209 5209 forfeiture negative
## 5210 5210 forfeiture sadness
## 5211 5211 forge positive
## 5212 5212 forgery negative
## 5213 5213 forget negative
## 5214 5214 forgive positive
## 5215 5215 forgiven positive
## 5216 5216 forgiving positive
## 5217 5217 forgiving trust
## 5218 5218 forgotten fear
## 5219 5219 forgotten negative
## 5220 5220 forgotten sadness
## 5221 5221 forlorn negative
## 5222 5222 forlorn sadness
## 5223 5223 formality trust
## 5224 5224 formative positive
## 5225 5225 formative trust
## 5226 5226 formidable fear
## 5227 5227 forming anticipation
## 5228 5228 formless negative
## 5229 5229 formula positive
## 5230 5230 formula trust
## 5231 5231 fornication negative
## 5232 5232 forsake negative
## 5233 5233 forsake sadness
## 5234 5234 forsaken anger
## 5235 5235 forsaken negative
## 5236 5236 forsaken sadness
## 5237 5237 fort trust
## 5238 5238 forte positive
## 5239 5239 forthcoming positive
## 5240 5240 fortify positive
## 5241 5241 fortitude joy
## 5242 5242 fortitude positive
## 5243 5243 fortitude trust
## 5244 5244 fortress fear
## 5245 5245 fortress positive
## 5246 5246 fortress sadness
## 5247 5247 fortress trust
## 5248 5248 fortunate positive
## 5249 5249 fortune anticipation
## 5250 5250 fortune joy
## 5251 5251 fortune positive
## 5252 5252 fortune surprise
## 5253 5253 fortune trust
## 5254 5254 forward positive
## 5255 5255 foul anger
## 5256 5256 foul disgust
## 5257 5257 foul fear
## 5258 5258 foul negative
## 5259 5259 found joy
## 5260 5260 found positive
## 5261 5261 found trust
## 5262 5262 foundation positive
## 5263 5263 fracture negative
## 5264 5264 fragile fear
## 5265 5265 fragile negative
## 5266 5266 fragile sadness
## 5267 5267 fragrant positive
## 5268 5268 frailty negative
## 5269 5269 frailty sadness
## 5270 5270 framework trust
## 5271 5271 frank positive
## 5272 5272 frank trust
## 5273 5273 frankness positive
## 5274 5274 frankness trust
## 5275 5275 frantic anticipation
## 5276 5276 frantic disgust
## 5277 5277 frantic fear
## 5278 5278 frantic negative
## 5279 5279 frantic surprise
## 5280 5280 fraternal joy
## 5281 5281 fraternal positive
## 5282 5282 fraternal trust
## 5283 5283 fraud anger
## 5284 5284 fraud negative
## 5285 5285 fraudulent anger
## 5286 5286 fraudulent disgust
## 5287 5287 fraudulent negative
## 5288 5288 fraught fear
## 5289 5289 fraught negative
## 5290 5290 fraught sadness
## 5291 5291 fray negative
## 5292 5292 frayed negative
## 5293 5293 frayed sadness
## 5294 5294 freakish disgust
## 5295 5295 freakish fear
## 5296 5296 freakish negative
## 5297 5297 freakish surprise
## 5298 5298 freedom joy
## 5299 5299 freedom positive
## 5300 5300 freedom trust
## 5301 5301 freely joy
## 5302 5302 freely positive
## 5303 5303 freely trust
## 5304 5304 freezing negative
## 5305 5305 frenetic anger
## 5306 5306 frenetic fear
## 5307 5307 frenetic negative
## 5308 5308 frenetic surprise
## 5309 5309 frenzied anger
## 5310 5310 frenzied fear
## 5311 5311 frenzied negative
## 5312 5312 frenzy negative
## 5313 5313 fret fear
## 5314 5314 fret negative
## 5315 5315 friction anger
## 5316 5316 friend joy
## 5317 5317 friend positive
## 5318 5318 friend trust
## 5319 5319 friendliness joy
## 5320 5320 friendliness positive
## 5321 5321 friendliness trust
## 5322 5322 friendly anticipation
## 5323 5323 friendly joy
## 5324 5324 friendly positive
## 5325 5325 friendly trust
## 5326 5326 friendship joy
## 5327 5327 friendship positive
## 5328 5328 friendship trust
## 5329 5329 frigate fear
## 5330 5330 fright fear
## 5331 5331 fright negative
## 5332 5332 fright surprise
## 5333 5333 frighten fear
## 5334 5334 frighten negative
## 5335 5335 frighten sadness
## 5336 5336 frighten surprise
## 5337 5337 frightened fear
## 5338 5338 frightened negative
## 5339 5339 frightened surprise
## 5340 5340 frightful anger
## 5341 5341 frightful fear
## 5342 5342 frightful negative
## 5343 5343 frightful sadness
## 5344 5344 frigid negative
## 5345 5345 frisky anticipation
## 5346 5346 frisky joy
## 5347 5347 frisky positive
## 5348 5348 frisky surprise
## 5349 5349 frivolous negative
## 5350 5350 frolic joy
## 5351 5351 frolic positive
## 5352 5352 frostbite negative
## 5353 5353 froth negative
## 5354 5354 frown negative
## 5355 5355 frown sadness
## 5356 5356 frowning anger
## 5357 5357 frowning disgust
## 5358 5358 frowning negative
## 5359 5359 frowning sadness
## 5360 5360 frugal positive
## 5361 5361 fruitful positive
## 5362 5362 fruitless negative
## 5363 5363 fruitless sadness
## 5364 5364 frustrate anger
## 5365 5365 frustrate disgust
## 5366 5366 frustrate negative
## 5367 5367 frustrate sadness
## 5368 5368 frustrated anger
## 5369 5369 frustrated negative
## 5370 5370 frustration anger
## 5371 5371 frustration negative
## 5372 5372 fudge negative
## 5373 5373 fugitive anger
## 5374 5374 fugitive disgust
## 5375 5375 fugitive fear
## 5376 5376 fugitive negative
## 5377 5377 fugitive sadness
## 5378 5378 fugitive trust
## 5379 5379 fulfill joy
## 5380 5380 fulfill positive
## 5381 5381 fulfillment anticipation
## 5382 5382 fulfillment joy
## 5383 5383 fulfillment positive
## 5384 5384 fulfillment trust
## 5385 5385 full positive
## 5386 5386 fully positive
## 5387 5387 fully trust
## 5388 5388 fumble negative
## 5389 5389 fume negative
## 5390 5390 fuming anger
## 5391 5391 fuming negative
## 5392 5392 fun anticipation
## 5393 5393 fun joy
## 5394 5394 fun positive
## 5395 5395 fundamental positive
## 5396 5396 fundamental trust
## 5397 5397 funeral sadness
## 5398 5398 fungus disgust
## 5399 5399 fungus negative
## 5400 5400 funk negative
## 5401 5401 funk sadness
## 5402 5402 furious anger
## 5403 5403 furious disgust
## 5404 5404 furious negative
## 5405 5405 furiously anger
## 5406 5406 furnace anger
## 5407 5407 furor anger
## 5408 5408 furor negative
## 5409 5409 furrow sadness
## 5410 5410 fury anger
## 5411 5411 fury fear
## 5412 5412 fury negative
## 5413 5413 fury sadness
## 5414 5414 fuse positive
## 5415 5415 fuse trust
## 5416 5416 fusion positive
## 5417 5417 fuss anger
## 5418 5418 fuss negative
## 5419 5419 fuss sadness
## 5420 5420 fussy disgust
## 5421 5421 fussy negative
## 5422 5422 futile negative
## 5423 5423 futile sadness
## 5424 5424 futility negative
## 5425 5425 gaby disgust
## 5426 5426 gaby negative
## 5427 5427 gag disgust
## 5428 5428 gag negative
## 5429 5429 gage trust
## 5430 5430 gain anticipation
## 5431 5431 gain joy
## 5432 5432 gain positive
## 5433 5433 gaining positive
## 5434 5434 gall anger
## 5435 5435 gall disgust
## 5436 5436 gall negative
## 5437 5437 gallant positive
## 5438 5438 gallantry positive
## 5439 5439 gallows anger
## 5440 5440 gallows fear
## 5441 5441 gallows negative
## 5442 5442 gallows sadness
## 5443 5443 galore positive
## 5444 5444 gamble negative
## 5445 5445 gambler anticipation
## 5446 5446 gambler negative
## 5447 5447 gambler surprise
## 5448 5448 gambling anticipation
## 5449 5449 gambling negative
## 5450 5450 gambling surprise
## 5451 5451 gang anger
## 5452 5452 gang fear
## 5453 5453 gang negative
## 5454 5454 gaol negative
## 5455 5455 gap negative
## 5456 5456 gape surprise
## 5457 5457 garbage disgust
## 5458 5458 garbage negative
## 5459 5459 garden joy
## 5460 5460 garden positive
## 5461 5461 garish disgust
## 5462 5462 garish negative
## 5463 5463 garish surprise
## 5464 5464 garnet positive
## 5465 5465 garnish negative
## 5466 5466 garrison positive
## 5467 5467 garrison trust
## 5468 5468 gash fear
## 5469 5469 gash negative
## 5470 5470 gasp surprise
## 5471 5471 gasping fear
## 5472 5472 gasping negative
## 5473 5473 gate trust
## 5474 5474 gateway trust
## 5475 5475 gauche negative
## 5476 5476 gauging trust
## 5477 5477 gaunt negative
## 5478 5478 gawk surprise
## 5479 5479 gazette positive
## 5480 5480 gazette trust
## 5481 5481 gear positive
## 5482 5482 gelatin disgust
## 5483 5483 gem joy
## 5484 5484 gem positive
## 5485 5485 general positive
## 5486 5486 general trust
## 5487 5487 generosity anticipation
## 5488 5488 generosity joy
## 5489 5489 generosity positive
## 5490 5490 generosity surprise
## 5491 5491 generosity trust
## 5492 5492 generous joy
## 5493 5493 generous positive
## 5494 5494 generous trust
## 5495 5495 genial joy
## 5496 5496 genial positive
## 5497 5497 genius positive
## 5498 5498 gent anger
## 5499 5499 gent disgust
## 5500 5500 gent fear
## 5501 5501 gent negative
## 5502 5502 genteel positive
## 5503 5503 gentleman positive
## 5504 5504 gentleman trust
## 5505 5505 gentleness positive
## 5506 5506 gentry positive
## 5507 5507 gentry trust
## 5508 5508 genuine positive
## 5509 5509 genuine trust
## 5510 5510 geranium positive
## 5511 5511 geriatric negative
## 5512 5512 geriatric sadness
## 5513 5513 germ anticipation
## 5514 5514 germ disgust
## 5515 5515 germination anticipation
## 5516 5516 ghastly disgust
## 5517 5517 ghastly fear
## 5518 5518 ghastly negative
## 5519 5519 ghetto disgust
## 5520 5520 ghetto fear
## 5521 5521 ghetto negative
## 5522 5522 ghetto sadness
## 5523 5523 ghost fear
## 5524 5524 ghostly fear
## 5525 5525 ghostly negative
## 5526 5526 giant fear
## 5527 5527 gibberish anger
## 5528 5528 gibberish negative
## 5529 5529 gift anticipation
## 5530 5530 gift joy
## 5531 5531 gift positive
## 5532 5532 gift surprise
## 5533 5533 gifted positive
## 5534 5534 gigantic positive
## 5535 5535 giggle joy
## 5536 5536 giggle positive
## 5537 5537 girder positive
## 5538 5538 girder trust
## 5539 5539 giving positive
## 5540 5540 glacial negative
## 5541 5541 glad anticipation
## 5542 5542 glad joy
## 5543 5543 glad positive
## 5544 5544 gladiator fear
## 5545 5545 gladness joy
## 5546 5546 gladness positive
## 5547 5547 glare anger
## 5548 5548 glare fear
## 5549 5549 glare negative
## 5550 5550 glaring anger
## 5551 5551 glaring negative
## 5552 5552 glee joy
## 5553 5553 glee positive
## 5554 5554 glib negative
## 5555 5555 glide anticipation
## 5556 5556 glide joy
## 5557 5557 glide positive
## 5558 5558 glimmer anticipation
## 5559 5559 glimmer joy
## 5560 5560 glimmer positive
## 5561 5561 glimmer surprise
## 5562 5562 glitter disgust
## 5563 5563 glitter joy
## 5564 5564 glittering positive
## 5565 5565 gloom negative
## 5566 5566 gloom sadness
## 5567 5567 gloomy negative
## 5568 5568 gloomy sadness
## 5569 5569 glorification joy
## 5570 5570 glorification positive
## 5571 5571 glorify anticipation
## 5572 5572 glorify joy
## 5573 5573 glorify positive
## 5574 5574 glorify surprise
## 5575 5575 glorify trust
## 5576 5576 glory anticipation
## 5577 5577 glory joy
## 5578 5578 glory positive
## 5579 5579 glory trust
## 5580 5580 gloss positive
## 5581 5581 glow anticipation
## 5582 5582 glow joy
## 5583 5583 glow positive
## 5584 5584 glow trust
## 5585 5585 glowing positive
## 5586 5586 glum negative
## 5587 5587 glum sadness
## 5588 5588 glut disgust
## 5589 5589 glut negative
## 5590 5590 gluttony disgust
## 5591 5591 gluttony negative
## 5592 5592 gnome anger
## 5593 5593 gnome disgust
## 5594 5594 gnome fear
## 5595 5595 gnome negative
## 5596 5596 gob disgust
## 5597 5597 goblin disgust
## 5598 5598 goblin fear
## 5599 5599 goblin negative
## 5600 5600 god anticipation
## 5601 5601 god fear
## 5602 5602 god joy
## 5603 5603 god positive
## 5604 5604 god trust
## 5605 5605 godless anger
## 5606 5606 godless negative
## 5607 5607 godly joy
## 5608 5608 godly positive
## 5609 5609 godly trust
## 5610 5610 godsend joy
## 5611 5611 godsend positive
## 5612 5612 godsend surprise
## 5613 5613 gold positive
## 5614 5614 gonorrhea anger
## 5615 5615 gonorrhea disgust
## 5616 5616 gonorrhea fear
## 5617 5617 gonorrhea negative
## 5618 5618 gonorrhea sadness
## 5619 5619 goo disgust
## 5620 5620 goo negative
## 5621 5621 good anticipation
## 5622 5622 good joy
## 5623 5623 good positive
## 5624 5624 good surprise
## 5625 5625 good trust
## 5626 5626 goodly positive
## 5627 5627 goodness anticipation
## 5628 5628 goodness joy
## 5629 5629 goodness positive
## 5630 5630 goodness surprise
## 5631 5631 goodness trust
## 5632 5632 goods positive
## 5633 5633 goodwill positive
## 5634 5634 gore anger
## 5635 5635 gore disgust
## 5636 5636 gore fear
## 5637 5637 gore negative
## 5638 5638 gore sadness
## 5639 5639 gorge disgust
## 5640 5640 gorge negative
## 5641 5641 gorgeous joy
## 5642 5642 gorgeous positive
## 5643 5643 gorilla negative
## 5644 5644 gory anger
## 5645 5645 gory disgust
## 5646 5646 gory fear
## 5647 5647 gory negative
## 5648 5648 gory sadness
## 5649 5649 gospel positive
## 5650 5650 gospel trust
## 5651 5651 gossip negative
## 5652 5652 gouge negative
## 5653 5653 gout negative
## 5654 5654 govern positive
## 5655 5655 govern trust
## 5656 5656 governess trust
## 5657 5657 government fear
## 5658 5658 government negative
## 5659 5659 governor trust
## 5660 5660 grab anger
## 5661 5661 grab negative
## 5662 5662 grace positive
## 5663 5663 graceful positive
## 5664 5664 gracious positive
## 5665 5665 graciously positive
## 5666 5666 gradual anticipation
## 5667 5667 graduation anticipation
## 5668 5668 graduation fear
## 5669 5669 graduation joy
## 5670 5670 graduation positive
## 5671 5671 graduation surprise
## 5672 5672 graduation trust
## 5673 5673 grammar trust
## 5674 5674 grandchildren anticipation
## 5675 5675 grandchildren joy
## 5676 5676 grandchildren positive
## 5677 5677 grandchildren trust
## 5678 5678 grandeur positive
## 5679 5679 grandfather trust
## 5680 5680 grandmother positive
## 5681 5681 grant anticipation
## 5682 5682 grant joy
## 5683 5683 grant positive
## 5684 5684 grant trust
## 5685 5685 granted positive
## 5686 5686 grasping anticipation
## 5687 5687 grasping negative
## 5688 5688 grate negative
## 5689 5689 grated anger
## 5690 5690 grated negative
## 5691 5691 grateful positive
## 5692 5692 gratify joy
## 5693 5693 gratify positive
## 5694 5694 gratify surprise
## 5695 5695 grating anger
## 5696 5696 grating disgust
## 5697 5697 grating negative
## 5698 5698 gratitude joy
## 5699 5699 gratitude positive
## 5700 5700 gratuitous disgust
## 5701 5701 grave fear
## 5702 5702 grave negative
## 5703 5703 grave sadness
## 5704 5704 gravitate anticipation
## 5705 5705 gray disgust
## 5706 5706 gray sadness
## 5707 5707 greasy disgust
## 5708 5708 greater positive
## 5709 5709 greatness joy
## 5710 5710 greatness positive
## 5711 5711 greatness surprise
## 5712 5712 greatness trust
## 5713 5713 greed anger
## 5714 5714 greed disgust
## 5715 5715 greed negative
## 5716 5716 greedy disgust
## 5717 5717 greedy negative
## 5718 5718 green joy
## 5719 5719 green positive
## 5720 5720 green trust
## 5721 5721 greeting positive
## 5722 5722 greeting surprise
## 5723 5723 gregarious positive
## 5724 5724 grenade fear
## 5725 5725 grenade negative
## 5726 5726 grief negative
## 5727 5727 grief sadness
## 5728 5728 grievance anger
## 5729 5729 grievance disgust
## 5730 5730 grievance negative
## 5731 5731 grievance sadness
## 5732 5732 grieve fear
## 5733 5733 grieve negative
## 5734 5734 grieve sadness
## 5735 5735 grievous anger
## 5736 5736 grievous fear
## 5737 5737 grievous negative
## 5738 5738 grievous sadness
## 5739 5739 grim anger
## 5740 5740 grim anticipation
## 5741 5741 grim disgust
## 5742 5742 grim fear
## 5743 5743 grim negative
## 5744 5744 grim sadness
## 5745 5745 grime disgust
## 5746 5746 grime negative
## 5747 5747 grimy disgust
## 5748 5748 grimy negative
## 5749 5749 grin anticipation
## 5750 5750 grin joy
## 5751 5751 grin positive
## 5752 5752 grin surprise
## 5753 5753 grin trust
## 5754 5754 grinding negative
## 5755 5755 grisly disgust
## 5756 5756 grisly fear
## 5757 5757 grisly negative
## 5758 5758 grist positive
## 5759 5759 grit positive
## 5760 5760 grit trust
## 5761 5761 grizzly fear
## 5762 5762 grizzly negative
## 5763 5763 groan disgust
## 5764 5764 groan negative
## 5765 5765 groan sadness
## 5766 5766 grope anger
## 5767 5767 grope disgust
## 5768 5768 grope fear
## 5769 5769 grope negative
## 5770 5770 gross disgust
## 5771 5771 gross negative
## 5772 5772 grotesque disgust
## 5773 5773 grotesque negative
## 5774 5774 ground trust
## 5775 5775 grounded fear
## 5776 5776 grounded negative
## 5777 5777 grounded sadness
## 5778 5778 groundless negative
## 5779 5779 groundwork positive
## 5780 5780 grow anticipation
## 5781 5781 grow joy
## 5782 5782 grow positive
## 5783 5783 grow trust
## 5784 5784 growl anger
## 5785 5785 growl fear
## 5786 5786 growl negative
## 5787 5787 growling anger
## 5788 5788 growling disgust
## 5789 5789 growling fear
## 5790 5790 growling negative
## 5791 5791 growth positive
## 5792 5792 grudge anger
## 5793 5793 grudge negative
## 5794 5794 grudgingly negative
## 5795 5795 gruesome disgust
## 5796 5796 gruesome negative
## 5797 5797 gruff anger
## 5798 5798 gruff disgust
## 5799 5799 gruff negative
## 5800 5800 grumble anger
## 5801 5801 grumble disgust
## 5802 5802 grumble negative
## 5803 5803 grumpy anger
## 5804 5804 grumpy disgust
## 5805 5805 grumpy negative
## 5806 5806 grumpy sadness
## 5807 5807 guarantee positive
## 5808 5808 guarantee trust
## 5809 5809 guard fear
## 5810 5810 guard positive
## 5811 5811 guard trust
## 5812 5812 guarded trust
## 5813 5813 guardian positive
## 5814 5814 guardian trust
## 5815 5815 guardianship positive
## 5816 5816 guardianship trust
## 5817 5817 gubernatorial positive
## 5818 5818 gubernatorial trust
## 5819 5819 guerilla fear
## 5820 5820 guerilla negative
## 5821 5821 guess surprise
## 5822 5822 guidance positive
## 5823 5823 guidance trust
## 5824 5824 guide positive
## 5825 5825 guide trust
## 5826 5826 guidebook positive
## 5827 5827 guidebook trust
## 5828 5828 guile negative
## 5829 5829 guillotine anger
## 5830 5830 guillotine anticipation
## 5831 5831 guillotine disgust
## 5832 5832 guillotine fear
## 5833 5833 guillotine negative
## 5834 5834 guillotine sadness
## 5835 5835 guilt disgust
## 5836 5836 guilt negative
## 5837 5837 guilt sadness
## 5838 5838 guilty anger
## 5839 5839 guilty negative
## 5840 5840 guilty sadness
## 5841 5841 guise negative
## 5842 5842 gull negative
## 5843 5843 gullible negative
## 5844 5844 gullible sadness
## 5845 5845 gullible trust
## 5846 5846 gulp fear
## 5847 5847 gulp surprise
## 5848 5848 gun anger
## 5849 5849 gun fear
## 5850 5850 gun negative
## 5851 5851 gunpowder fear
## 5852 5852 guru positive
## 5853 5853 guru trust
## 5854 5854 gush disgust
## 5855 5855 gush joy
## 5856 5856 gush negative
## 5857 5857 gusset trust
## 5858 5858 gut disgust
## 5859 5859 guts positive
## 5860 5860 gutter disgust
## 5861 5861 guzzling negative
## 5862 5862 gymnast positive
## 5863 5863 gypsy negative
## 5864 5864 habitat positive
## 5865 5865 habitual anticipation
## 5866 5866 hag disgust
## 5867 5867 hag fear
## 5868 5868 hag negative
## 5869 5869 haggard negative
## 5870 5870 haggard sadness
## 5871 5871 hail negative
## 5872 5872 hail positive
## 5873 5873 hail trust
## 5874 5874 hairy disgust
## 5875 5875 hairy negative
## 5876 5876 hale positive
## 5877 5877 halfway negative
## 5878 5878 hallucination fear
## 5879 5879 hallucination negative
## 5880 5880 halter anger
## 5881 5881 halter fear
## 5882 5882 halter negative
## 5883 5883 halter sadness
## 5884 5884 halting fear
## 5885 5885 halting negative
## 5886 5886 halting sadness
## 5887 5887 hamper negative
## 5888 5888 hamstring anger
## 5889 5889 hamstring negative
## 5890 5890 hamstring sadness
## 5891 5891 handbook trust
## 5892 5892 handicap negative
## 5893 5893 handicap sadness
## 5894 5894 handy positive
## 5895 5895 hanging anger
## 5896 5896 hanging disgust
## 5897 5897 hanging fear
## 5898 5898 hanging negative
## 5899 5899 hanging sadness
## 5900 5900 hangman fear
## 5901 5901 hangman negative
## 5902 5902 hankering anticipation
## 5903 5903 hap anticipation
## 5904 5904 hap surprise
## 5905 5905 happen anticipation
## 5906 5906 happily joy
## 5907 5907 happily positive
## 5908 5908 happiness anticipation
## 5909 5909 happiness joy
## 5910 5910 happiness positive
## 5911 5911 happy anticipation
## 5912 5912 happy joy
## 5913 5913 happy positive
## 5914 5914 happy trust
## 5915 5915 harass anger
## 5916 5916 harass disgust
## 5917 5917 harass negative
## 5918 5918 harassing anger
## 5919 5919 harbinger anger
## 5920 5920 harbinger anticipation
## 5921 5921 harbinger fear
## 5922 5922 harbinger negative
## 5923 5923 harbor trust
## 5924 5924 hardened anger
## 5925 5925 hardened disgust
## 5926 5926 hardened fear
## 5927 5927 hardened negative
## 5928 5928 hardness negative
## 5929 5929 hardship negative
## 5930 5930 hardship sadness
## 5931 5931 hardy joy
## 5932 5932 hardy positive
## 5933 5933 hardy trust
## 5934 5934 harlot disgust
## 5935 5935 harlot negative
## 5936 5936 harm fear
## 5937 5937 harm negative
## 5938 5938 harmful anger
## 5939 5939 harmful disgust
## 5940 5940 harmful fear
## 5941 5941 harmful negative
## 5942 5942 harmful sadness
## 5943 5943 harmoniously joy
## 5944 5944 harmoniously positive
## 5945 5945 harmoniously trust
## 5946 5946 harmony joy
## 5947 5947 harmony positive
## 5948 5948 harmony trust
## 5949 5949 harrowing fear
## 5950 5950 harrowing negative
## 5951 5951 harry anger
## 5952 5952 harry negative
## 5953 5953 harry sadness
## 5954 5954 harshness anger
## 5955 5955 harshness fear
## 5956 5956 harshness negative
## 5957 5957 harvest anticipation
## 5958 5958 harvest joy
## 5959 5959 harvest positive
## 5960 5960 hash negative
## 5961 5961 hashish negative
## 5962 5962 haste anticipation
## 5963 5963 hasty negative
## 5964 5964 hate anger
## 5965 5965 hate disgust
## 5966 5966 hate fear
## 5967 5967 hate negative
## 5968 5968 hate sadness
## 5969 5969 hateful anger
## 5970 5970 hateful disgust
## 5971 5971 hateful fear
## 5972 5972 hateful negative
## 5973 5973 hateful sadness
## 5974 5974 hating anger
## 5975 5975 hating negative
## 5976 5976 hatred anger
## 5977 5977 hatred disgust
## 5978 5978 hatred fear
## 5979 5979 hatred negative
## 5980 5980 hatred sadness
## 5981 5981 haughty anger
## 5982 5982 haughty negative
## 5983 5983 haunt fear
## 5984 5984 haunt negative
## 5985 5985 haunted fear
## 5986 5986 haunted negative
## 5987 5987 haunted sadness
## 5988 5988 haven positive
## 5989 5989 haven trust
## 5990 5990 havoc anger
## 5991 5991 havoc fear
## 5992 5992 havoc negative
## 5993 5993 hawk fear
## 5994 5994 hazard fear
## 5995 5995 hazard negative
## 5996 5996 hazardous fear
## 5997 5997 hazardous negative
## 5998 5998 haze fear
## 5999 5999 haze negative
## 6000 6000 headache negative
## 6001 6001 headlight anticipation
## 6002 6002 headway positive
## 6003 6003 heady negative
## 6004 6004 heal joy
## 6005 6005 heal positive
## 6006 6006 heal trust
## 6007 6007 healing anticipation
## 6008 6008 healing joy
## 6009 6009 healing positive
## 6010 6010 healing trust
## 6011 6011 healthful joy
## 6012 6012 healthful positive
## 6013 6013 healthy positive
## 6014 6014 hearing fear
## 6015 6015 hearing negative
## 6016 6016 hearsay negative
## 6017 6017 hearse fear
## 6018 6018 hearse negative
## 6019 6019 hearse sadness
## 6020 6020 heartache negative
## 6021 6021 heartache sadness
## 6022 6022 heartburn negative
## 6023 6023 heartfelt joy
## 6024 6024 heartfelt positive
## 6025 6025 heartfelt sadness
## 6026 6026 heartfelt trust
## 6027 6027 hearth positive
## 6028 6028 heartily joy
## 6029 6029 heartily positive
## 6030 6030 heartless negative
## 6031 6031 heartless sadness
## 6032 6032 heartworm disgust
## 6033 6033 heathen fear
## 6034 6034 heathen negative
## 6035 6035 heavenly anticipation
## 6036 6036 heavenly joy
## 6037 6037 heavenly positive
## 6038 6038 heavenly trust
## 6039 6039 heavens joy
## 6040 6040 heavens positive
## 6041 6041 heavens trust
## 6042 6042 heavily negative
## 6043 6043 hedonism joy
## 6044 6044 hedonism negative
## 6045 6045 hedonism positive
## 6046 6046 heel negative
## 6047 6047 heft anticipation
## 6048 6048 heft fear
## 6049 6049 heft positive
## 6050 6050 heighten fear
## 6051 6051 heighten negative
## 6052 6052 heinous negative
## 6053 6053 hell anger
## 6054 6054 hell disgust
## 6055 6055 hell fear
## 6056 6056 hell negative
## 6057 6057 hell sadness
## 6058 6058 hellish anger
## 6059 6059 hellish disgust
## 6060 6060 hellish fear
## 6061 6061 hellish negative
## 6062 6062 hellish sadness
## 6063 6063 helmet fear
## 6064 6064 helmet positive
## 6065 6065 helper positive
## 6066 6066 helper trust
## 6067 6067 helpful joy
## 6068 6068 helpful positive
## 6069 6069 helpful trust
## 6070 6070 helpless fear
## 6071 6071 helpless negative
## 6072 6072 helpless sadness
## 6073 6073 helplessness fear
## 6074 6074 helplessness negative
## 6075 6075 helplessness sadness
## 6076 6076 hemorrhage disgust
## 6077 6077 hemorrhage fear
## 6078 6078 hemorrhage negative
## 6079 6079 hemorrhage sadness
## 6080 6080 hemorrhoids negative
## 6081 6081 herbal positive
## 6082 6082 heresy negative
## 6083 6083 heretic disgust
## 6084 6084 heretic negative
## 6085 6085 heritage trust
## 6086 6086 hermaphrodite negative
## 6087 6087 hermaphrodite surprise
## 6088 6088 hermit sadness
## 6089 6089 hermit trust
## 6090 6090 hero anticipation
## 6091 6091 hero joy
## 6092 6092 hero positive
## 6093 6093 hero surprise
## 6094 6094 hero trust
## 6095 6095 heroic joy
## 6096 6096 heroic positive
## 6097 6097 heroic surprise
## 6098 6098 heroic trust
## 6099 6099 heroics positive
## 6100 6100 heroin negative
## 6101 6101 heroine positive
## 6102 6102 heroine trust
## 6103 6103 heroism anticipation
## 6104 6104 heroism joy
## 6105 6105 heroism positive
## 6106 6106 heroism surprise
## 6107 6107 heroism trust
## 6108 6108 herpes disgust
## 6109 6109 herpes negative
## 6110 6110 herpesvirus disgust
## 6111 6111 herpesvirus negative
## 6112 6112 hesitation fear
## 6113 6113 hesitation negative
## 6114 6114 heyday anticipation
## 6115 6115 heyday joy
## 6116 6116 heyday positive
## 6117 6117 heyday trust
## 6118 6118 hidden negative
## 6119 6119 hide fear
## 6120 6120 hideous disgust
## 6121 6121 hideous fear
## 6122 6122 hideous negative
## 6123 6123 hideous sadness
## 6124 6124 hiding fear
## 6125 6125 highest anticipation
## 6126 6126 highest fear
## 6127 6127 highest joy
## 6128 6128 highest negative
## 6129 6129 highest positive
## 6130 6130 highest surprise
## 6131 6131 hilarious joy
## 6132 6132 hilarious positive
## 6133 6133 hilarious surprise
## 6134 6134 hilarity joy
## 6135 6135 hilarity positive
## 6136 6136 hindering negative
## 6137 6137 hindering sadness
## 6138 6138 hindrance negative
## 6139 6139 hippie negative
## 6140 6140 hire anticipation
## 6141 6141 hire joy
## 6142 6142 hire positive
## 6143 6143 hire trust
## 6144 6144 hiss anger
## 6145 6145 hiss fear
## 6146 6146 hiss negative
## 6147 6147 hissing negative
## 6148 6148 hit anger
## 6149 6149 hit negative
## 6150 6150 hitherto negative
## 6151 6151 hive negative
## 6152 6152 hoarse negative
## 6153 6153 hoary negative
## 6154 6154 hoary sadness
## 6155 6155 hoax anger
## 6156 6156 hoax disgust
## 6157 6157 hoax negative
## 6158 6158 hoax sadness
## 6159 6159 hoax surprise
## 6160 6160 hobby joy
## 6161 6161 hobby positive
## 6162 6162 hobo negative
## 6163 6163 hobo sadness
## 6164 6164 hog disgust
## 6165 6165 hog negative
## 6166 6166 holiday anticipation
## 6167 6167 holiday joy
## 6168 6168 holiday positive
## 6169 6169 holiness anticipation
## 6170 6170 holiness fear
## 6171 6171 holiness joy
## 6172 6172 holiness positive
## 6173 6173 holiness surprise
## 6174 6174 holiness trust
## 6175 6175 hollow negative
## 6176 6176 hollow sadness
## 6177 6177 holocaust anger
## 6178 6178 holocaust disgust
## 6179 6179 holocaust fear
## 6180 6180 holocaust negative
## 6181 6181 holocaust sadness
## 6182 6182 holy positive
## 6183 6183 homage positive
## 6184 6184 homeless anger
## 6185 6185 homeless anticipation
## 6186 6186 homeless disgust
## 6187 6187 homeless fear
## 6188 6188 homeless negative
## 6189 6189 homeless sadness
## 6190 6190 homesick negative
## 6191 6191 homesick sadness
## 6192 6192 homework fear
## 6193 6193 homicidal anger
## 6194 6194 homicidal fear
## 6195 6195 homicidal negative
## 6196 6196 homicide anger
## 6197 6197 homicide disgust
## 6198 6198 homicide fear
## 6199 6199 homicide negative
## 6200 6200 homicide sadness
## 6201 6201 homology positive
## 6202 6202 honest anger
## 6203 6203 honest disgust
## 6204 6204 honest fear
## 6205 6205 honest joy
## 6206 6206 honest positive
## 6207 6207 honest sadness
## 6208 6208 honest trust
## 6209 6209 honesty positive
## 6210 6210 honesty trust
## 6211 6211 honey positive
## 6212 6212 honeymoon anticipation
## 6213 6213 honeymoon joy
## 6214 6214 honeymoon positive
## 6215 6215 honeymoon surprise
## 6216 6216 honeymoon trust
## 6217 6217 honor positive
## 6218 6218 honor trust
## 6219 6219 honorable positive
## 6220 6220 honorable trust
## 6221 6221 hood anger
## 6222 6222 hood disgust
## 6223 6223 hood fear
## 6224 6224 hood negative
## 6225 6225 hooded fear
## 6226 6226 hooked negative
## 6227 6227 hoot anger
## 6228 6228 hoot disgust
## 6229 6229 hoot negative
## 6230 6230 hope anticipation
## 6231 6231 hope joy
## 6232 6232 hope positive
## 6233 6233 hope surprise
## 6234 6234 hope trust
## 6235 6235 hopeful anticipation
## 6236 6236 hopeful joy
## 6237 6237 hopeful positive
## 6238 6238 hopeful surprise
## 6239 6239 hopeful trust
## 6240 6240 hopeless fear
## 6241 6241 hopeless negative
## 6242 6242 hopeless sadness
## 6243 6243 hopelessness anger
## 6244 6244 hopelessness disgust
## 6245 6245 hopelessness fear
## 6246 6246 hopelessness negative
## 6247 6247 hopelessness sadness
## 6248 6248 horde negative
## 6249 6249 horde surprise
## 6250 6250 horizon anticipation
## 6251 6251 horizon positive
## 6252 6252 horoscope anticipation
## 6253 6253 horrible anger
## 6254 6254 horrible disgust
## 6255 6255 horrible fear
## 6256 6256 horrible negative
## 6257 6257 horribly negative
## 6258 6258 horrid anger
## 6259 6259 horrid disgust
## 6260 6260 horrid fear
## 6261 6261 horrid negative
## 6262 6262 horrid sadness
## 6263 6263 horrific anger
## 6264 6264 horrific disgust
## 6265 6265 horrific fear
## 6266 6266 horrific negative
## 6267 6267 horrific sadness
## 6268 6268 horrified fear
## 6269 6269 horrified negative
## 6270 6270 horrifying disgust
## 6271 6271 horrifying fear
## 6272 6272 horrifying negative
## 6273 6273 horrifying sadness
## 6274 6274 horror anger
## 6275 6275 horror disgust
## 6276 6276 horror fear
## 6277 6277 horror negative
## 6278 6278 horror sadness
## 6279 6279 horror surprise
## 6280 6280 horrors fear
## 6281 6281 horrors negative
## 6282 6282 horrors sadness
## 6283 6283 horse trust
## 6284 6284 hospice sadness
## 6285 6285 hospital fear
## 6286 6286 hospital sadness
## 6287 6287 hospital trust
## 6288 6288 hospitality positive
## 6289 6289 hostage anger
## 6290 6290 hostage fear
## 6291 6291 hostage negative
## 6292 6292 hostile anger
## 6293 6293 hostile disgust
## 6294 6294 hostile fear
## 6295 6295 hostile negative
## 6296 6296 hostilities anger
## 6297 6297 hostilities fear
## 6298 6298 hostilities negative
## 6299 6299 hostility anger
## 6300 6300 hostility disgust
## 6301 6301 hostility negative
## 6302 6302 hot anger
## 6303 6303 household positive
## 6304 6304 housekeeping positive
## 6305 6305 howl anger
## 6306 6306 howl disgust
## 6307 6307 howl fear
## 6308 6308 howl negative
## 6309 6309 howl sadness
## 6310 6310 howl surprise
## 6311 6311 huff anger
## 6312 6312 huff disgust
## 6313 6313 huff negative
## 6314 6314 hug joy
## 6315 6315 hug positive
## 6316 6316 hug trust
## 6317 6317 hulk disgust
## 6318 6318 humane positive
## 6319 6319 humanitarian anticipation
## 6320 6320 humanitarian joy
## 6321 6321 humanitarian positive
## 6322 6322 humanitarian surprise
## 6323 6323 humanitarian trust
## 6324 6324 humanity joy
## 6325 6325 humanity positive
## 6326 6326 humanity trust
## 6327 6327 humble disgust
## 6328 6328 humble negative
## 6329 6329 humble positive
## 6330 6330 humble sadness
## 6331 6331 humbled positive
## 6332 6332 humbled sadness
## 6333 6333 humbly positive
## 6334 6334 humbug anger
## 6335 6335 humbug disgust
## 6336 6336 humbug negative
## 6337 6337 humbug sadness
## 6338 6338 humiliate anger
## 6339 6339 humiliate negative
## 6340 6340 humiliate sadness
## 6341 6341 humiliating disgust
## 6342 6342 humiliating negative
## 6343 6343 humiliation disgust
## 6344 6344 humiliation negative
## 6345 6345 humiliation sadness
## 6346 6346 humility positive
## 6347 6347 humility trust
## 6348 6348 humorist positive
## 6349 6349 humorous joy
## 6350 6350 humorous positive
## 6351 6351 hunch negative
## 6352 6352 hungry anticipation
## 6353 6353 hungry negative
## 6354 6354 hunter anticipation
## 6355 6355 hunter fear
## 6356 6356 hunter negative
## 6357 6357 hunter sadness
## 6358 6358 hunting anger
## 6359 6359 hunting anticipation
## 6360 6360 hunting fear
## 6361 6361 hunting negative
## 6362 6362 hurrah joy
## 6363 6363 hurrah positive
## 6364 6364 hurricane fear
## 6365 6365 hurricane negative
## 6366 6366 hurried anticipation
## 6367 6367 hurried negative
## 6368 6368 hurry anticipation
## 6369 6369 hurt anger
## 6370 6370 hurt fear
## 6371 6371 hurt negative
## 6372 6372 hurt sadness
## 6373 6373 hurtful anger
## 6374 6374 hurtful disgust
## 6375 6375 hurtful fear
## 6376 6376 hurtful negative
## 6377 6377 hurtful sadness
## 6378 6378 hurting anger
## 6379 6379 hurting fear
## 6380 6380 hurting negative
## 6381 6381 hurting sadness
## 6382 6382 husbandry positive
## 6383 6383 husbandry trust
## 6384 6384 hush positive
## 6385 6385 hustler negative
## 6386 6386 hut positive
## 6387 6387 hut sadness
## 6388 6388 hydra fear
## 6389 6389 hydra negative
## 6390 6390 hydrocephalus disgust
## 6391 6391 hydrocephalus fear
## 6392 6392 hydrocephalus negative
## 6393 6393 hydrocephalus sadness
## 6394 6394 hygienic positive
## 6395 6395 hymn anticipation
## 6396 6396 hymn joy
## 6397 6397 hymn positive
## 6398 6398 hymn sadness
## 6399 6399 hymn trust
## 6400 6400 hype anticipation
## 6401 6401 hype negative
## 6402 6402 hyperbole negative
## 6403 6403 hypertrophy disgust
## 6404 6404 hypertrophy fear
## 6405 6405 hypertrophy surprise
## 6406 6406 hypocrisy negative
## 6407 6407 hypocrite disgust
## 6408 6408 hypocrite negative
## 6409 6409 hypocritical disgust
## 6410 6410 hypocritical negative
## 6411 6411 hypothesis anticipation
## 6412 6412 hypothesis surprise
## 6413 6413 hysteria fear
## 6414 6414 hysteria negative
## 6415 6415 hysterical anger
## 6416 6416 hysterical fear
## 6417 6417 hysterical negative
## 6418 6418 idealism positive
## 6419 6419 idiocy anger
## 6420 6420 idiocy disgust
## 6421 6421 idiocy negative
## 6422 6422 idiocy sadness
## 6423 6423 idiot disgust
## 6424 6424 idiot negative
## 6425 6425 idiotic anger
## 6426 6426 idiotic disgust
## 6427 6427 idiotic negative
## 6428 6428 idler negative
## 6429 6429 idol positive
## 6430 6430 idolatry disgust
## 6431 6431 idolatry fear
## 6432 6432 idolatry negative
## 6433 6433 ignorance negative
## 6434 6434 ignorant disgust
## 6435 6435 ignorant negative
## 6436 6436 ignore negative
## 6437 6437 ill anger
## 6438 6438 ill disgust
## 6439 6439 ill fear
## 6440 6440 ill negative
## 6441 6441 ill sadness
## 6442 6442 illegal anger
## 6443 6443 illegal disgust
## 6444 6444 illegal fear
## 6445 6445 illegal negative
## 6446 6446 illegal sadness
## 6447 6447 illegality anger
## 6448 6448 illegality disgust
## 6449 6449 illegality fear
## 6450 6450 illegality negative
## 6451 6451 illegible negative
## 6452 6452 illegitimate anger
## 6453 6453 illegitimate disgust
## 6454 6454 illegitimate fear
## 6455 6455 illegitimate negative
## 6456 6456 illegitimate sadness
## 6457 6457 illegitimate surprise
## 6458 6458 illicit anger
## 6459 6459 illicit disgust
## 6460 6460 illicit fear
## 6461 6461 illicit negative
## 6462 6462 illiterate disgust
## 6463 6463 illiterate negative
## 6464 6464 illness fear
## 6465 6465 illness negative
## 6466 6466 illness sadness
## 6467 6467 illogical negative
## 6468 6468 illuminate anticipation
## 6469 6469 illuminate joy
## 6470 6470 illuminate positive
## 6471 6471 illuminate surprise
## 6472 6472 illumination joy
## 6473 6473 illumination positive
## 6474 6474 illumination surprise
## 6475 6475 illumination trust
## 6476 6476 illusion negative
## 6477 6477 illusion surprise
## 6478 6478 illustrate positive
## 6479 6479 illustrious positive
## 6480 6480 imaginative positive
## 6481 6481 imitated negative
## 6482 6482 imitation negative
## 6483 6483 immaculate joy
## 6484 6484 immaculate positive
## 6485 6485 immaculate trust
## 6486 6486 immature anticipation
## 6487 6487 immature negative
## 6488 6488 immaturity anger
## 6489 6489 immaturity anticipation
## 6490 6490 immaturity negative
## 6491 6491 immediacy surprise
## 6492 6492 immediately anticipation
## 6493 6493 immediately negative
## 6494 6494 immediately positive
## 6495 6495 immense positive
## 6496 6496 immerse anticipation
## 6497 6497 immerse fear
## 6498 6498 immerse joy
## 6499 6499 immerse positive
## 6500 6500 immerse surprise
## 6501 6501 immerse trust
## 6502 6502 immigrant fear
## 6503 6503 imminent anticipation
## 6504 6504 imminent fear
## 6505 6505 immoral anger
## 6506 6506 immoral disgust
## 6507 6507 immoral fear
## 6508 6508 immoral negative
## 6509 6509 immoral sadness
## 6510 6510 immorality anger
## 6511 6511 immorality disgust
## 6512 6512 immorality negative
## 6513 6513 immortal positive
## 6514 6514 immortality anticipation
## 6515 6515 immovable negative
## 6516 6516 immovable positive
## 6517 6517 immovable trust
## 6518 6518 immunization trust
## 6519 6519 impair negative
## 6520 6520 impairment negative
## 6521 6521 impart positive
## 6522 6522 impart trust
## 6523 6523 impartial positive
## 6524 6524 impartial trust
## 6525 6525 impartiality positive
## 6526 6526 impartiality trust
## 6527 6527 impassable negative
## 6528 6528 impatience negative
## 6529 6529 impatient anticipation
## 6530 6530 impatient negative
## 6531 6531 impeach disgust
## 6532 6532 impeach fear
## 6533 6533 impeach negative
## 6534 6534 impeachment negative
## 6535 6535 impeccable positive
## 6536 6536 impeccable trust
## 6537 6537 impede negative
## 6538 6538 impending anticipation
## 6539 6539 impending fear
## 6540 6540 impenetrable trust
## 6541 6541 imperfection negative
## 6542 6542 imperfectly negative
## 6543 6543 impermeable anger
## 6544 6544 impermeable fear
## 6545 6545 impersonate negative
## 6546 6546 impersonation negative
## 6547 6547 impervious positive
## 6548 6548 implacable negative
## 6549 6549 implicate anger
## 6550 6550 implicate negative
## 6551 6551 impolite disgust
## 6552 6552 impolite negative
## 6553 6553 importance anticipation
## 6554 6554 importance positive
## 6555 6555 important positive
## 6556 6556 important trust
## 6557 6557 imposition negative
## 6558 6558 impossible negative
## 6559 6559 impossible sadness
## 6560 6560 impotence anger
## 6561 6561 impotence fear
## 6562 6562 impotence negative
## 6563 6563 impotence sadness
## 6564 6564 impotent negative
## 6565 6565 impound negative
## 6566 6566 impracticable negative
## 6567 6567 impress positive
## 6568 6568 impression positive
## 6569 6569 impressionable trust
## 6570 6570 imprison negative
## 6571 6571 imprisoned anger
## 6572 6572 imprisoned disgust
## 6573 6573 imprisoned fear
## 6574 6574 imprisoned negative
## 6575 6575 imprisoned sadness
## 6576 6576 imprisonment anger
## 6577 6577 imprisonment disgust
## 6578 6578 imprisonment fear
## 6579 6579 imprisonment negative
## 6580 6580 imprisonment sadness
## 6581 6581 impropriety negative
## 6582 6582 improve anticipation
## 6583 6583 improve joy
## 6584 6584 improve positive
## 6585 6585 improve trust
## 6586 6586 improved positive
## 6587 6587 improvement joy
## 6588 6588 improvement positive
## 6589 6589 improvement trust
## 6590 6590 improving positive
## 6591 6591 improvisation surprise
## 6592 6592 improvise anticipation
## 6593 6593 improvise positive
## 6594 6594 improvise surprise
## 6595 6595 imprudent negative
## 6596 6596 imprudent sadness
## 6597 6597 impure disgust
## 6598 6598 impure negative
## 6599 6599 impurity disgust
## 6600 6600 impurity negative
## 6601 6601 imputation negative
## 6602 6602 inability negative
## 6603 6603 inability sadness
## 6604 6604 inaccessible negative
## 6605 6605 inaccurate negative
## 6606 6606 inaction negative
## 6607 6607 inactivity negative
## 6608 6608 inadequacy negative
## 6609 6609 inadequate negative
## 6610 6610 inadequate sadness
## 6611 6611 inadmissible anger
## 6612 6612 inadmissible disgust
## 6613 6613 inadmissible negative
## 6614 6614 inalienable positive
## 6615 6615 inane negative
## 6616 6616 inapplicable negative
## 6617 6617 inappropriate anger
## 6618 6618 inappropriate disgust
## 6619 6619 inappropriate negative
## 6620 6620 inappropriate sadness
## 6621 6621 inattention anger
## 6622 6622 inattention negative
## 6623 6623 inaudible negative
## 6624 6624 inaugural anticipation
## 6625 6625 inauguration anticipation
## 6626 6626 inauguration joy
## 6627 6627 inauguration positive
## 6628 6628 inauguration trust
## 6629 6629 incalculable negative
## 6630 6630 incapacity negative
## 6631 6631 incarceration anger
## 6632 6632 incarceration disgust
## 6633 6633 incarceration fear
## 6634 6634 incarceration negative
## 6635 6635 incarceration sadness
## 6636 6636 incase anger
## 6637 6637 incase disgust
## 6638 6638 incase fear
## 6639 6639 incase negative
## 6640 6640 incase sadness
## 6641 6641 incendiary anger
## 6642 6642 incendiary fear
## 6643 6643 incendiary negative
## 6644 6644 incendiary surprise
## 6645 6645 incense anger
## 6646 6646 incense negative
## 6647 6647 incessant negative
## 6648 6648 incest anger
## 6649 6649 incest disgust
## 6650 6650 incest fear
## 6651 6651 incest negative
## 6652 6652 incest sadness
## 6653 6653 incestuous disgust
## 6654 6654 incestuous negative
## 6655 6655 incident surprise
## 6656 6656 incineration negative
## 6657 6657 incisive positive
## 6658 6658 incite anger
## 6659 6659 incite anticipation
## 6660 6660 incite fear
## 6661 6661 incite negative
## 6662 6662 inclement negative
## 6663 6663 incline trust
## 6664 6664 include positive
## 6665 6665 included positive
## 6666 6666 including positive
## 6667 6667 inclusion trust
## 6668 6668 inclusive positive
## 6669 6669 incoherent negative
## 6670 6670 income anticipation
## 6671 6671 income joy
## 6672 6672 income negative
## 6673 6673 income positive
## 6674 6674 income sadness
## 6675 6675 income trust
## 6676 6676 incompatible anger
## 6677 6677 incompatible disgust
## 6678 6678 incompatible negative
## 6679 6679 incompatible sadness
## 6680 6680 incompetence negative
## 6681 6681 incompetent anger
## 6682 6682 incompetent negative
## 6683 6683 incompetent sadness
## 6684 6684 incompleteness negative
## 6685 6685 incomprehensible negative
## 6686 6686 incongruous anger
## 6687 6687 incongruous negative
## 6688 6688 inconsequential negative
## 6689 6689 inconsequential sadness
## 6690 6690 inconsiderate anger
## 6691 6691 inconsiderate disgust
## 6692 6692 inconsiderate negative
## 6693 6693 inconsiderate sadness
## 6694 6694 inconsistency negative
## 6695 6695 incontinence surprise
## 6696 6696 inconvenient anger
## 6697 6697 inconvenient disgust
## 6698 6698 inconvenient negative
## 6699 6699 inconvenient sadness
## 6700 6700 incorrect negative
## 6701 6701 increase positive
## 6702 6702 incredulous anger
## 6703 6703 incredulous disgust
## 6704 6704 incredulous negative
## 6705 6705 incrimination fear
## 6706 6706 incrimination negative
## 6707 6707 incrimination sadness
## 6708 6708 incubus disgust
## 6709 6709 incubus fear
## 6710 6710 incubus negative
## 6711 6711 incur negative
## 6712 6712 incurable anger
## 6713 6713 incurable disgust
## 6714 6714 incurable fear
## 6715 6715 incurable negative
## 6716 6716 incurable sadness
## 6717 6717 incursion fear
## 6718 6718 incursion negative
## 6719 6719 indecency anger
## 6720 6720 indecency disgust
## 6721 6721 indecent disgust
## 6722 6722 indecent negative
## 6723 6723 indecision negative
## 6724 6724 indecisive negative
## 6725 6725 indefensible fear
## 6726 6726 indefensible negative
## 6727 6727 indelible positive
## 6728 6728 indelible trust
## 6729 6729 indemnify negative
## 6730 6730 indemnity positive
## 6731 6731 indemnity trust
## 6732 6732 indent trust
## 6733 6733 indenture anger
## 6734 6734 indenture negative
## 6735 6735 independence anticipation
## 6736 6736 independence joy
## 6737 6737 independence positive
## 6738 6738 independence surprise
## 6739 6739 independence trust
## 6740 6740 indestructible positive
## 6741 6741 indestructible trust
## 6742 6742 indeterminate negative
## 6743 6743 indict anger
## 6744 6744 indict fear
## 6745 6745 indict negative
## 6746 6746 indictment fear
## 6747 6747 indictment negative
## 6748 6748 indifference anger
## 6749 6749 indifference disgust
## 6750 6750 indifference fear
## 6751 6751 indifference negative
## 6752 6752 indifference sadness
## 6753 6753 indigent negative
## 6754 6754 indigent sadness
## 6755 6755 indignant anger
## 6756 6756 indignant negative
## 6757 6757 indignation anger
## 6758 6758 indignation disgust
## 6759 6759 indignation negative
## 6760 6760 indistinct negative
## 6761 6761 individuality positive
## 6762 6762 indivisible trust
## 6763 6763 indoctrination anger
## 6764 6764 indoctrination fear
## 6765 6765 indoctrination negative
## 6766 6766 indolent negative
## 6767 6767 indomitable fear
## 6768 6768 indomitable positive
## 6769 6769 ineffable positive
## 6770 6770 ineffective negative
## 6771 6771 ineffectual disgust
## 6772 6772 ineffectual negative
## 6773 6773 inefficiency disgust
## 6774 6774 inefficiency negative
## 6775 6775 inefficiency sadness
## 6776 6776 inefficient negative
## 6777 6777 inefficient sadness
## 6778 6778 inept anger
## 6779 6779 inept disgust
## 6780 6780 inept negative
## 6781 6781 ineptitude disgust
## 6782 6782 ineptitude fear
## 6783 6783 ineptitude negative
## 6784 6784 ineptitude sadness
## 6785 6785 inequality anger
## 6786 6786 inequality fear
## 6787 6787 inequality negative
## 6788 6788 inequality sadness
## 6789 6789 inequitable negative
## 6790 6790 inert negative
## 6791 6791 inexcusable anger
## 6792 6792 inexcusable disgust
## 6793 6793 inexcusable negative
## 6794 6794 inexcusable sadness
## 6795 6795 inexpensive positive
## 6796 6796 inexperience negative
## 6797 6797 inexperienced negative
## 6798 6798 inexplicable negative
## 6799 6799 inexplicable surprise
## 6800 6800 infallibility trust
## 6801 6801 infallible positive
## 6802 6802 infamous anger
## 6803 6803 infamous disgust
## 6804 6804 infamous fear
## 6805 6805 infamous negative
## 6806 6806 infamy negative
## 6807 6807 infamy sadness
## 6808 6808 infant anticipation
## 6809 6809 infant fear
## 6810 6810 infant joy
## 6811 6811 infant positive
## 6812 6812 infant surprise
## 6813 6813 infanticide anger
## 6814 6814 infanticide anticipation
## 6815 6815 infanticide disgust
## 6816 6816 infanticide fear
## 6817 6817 infanticide negative
## 6818 6818 infanticide sadness
## 6819 6819 infantile anger
## 6820 6820 infantile disgust
## 6821 6821 infantile negative
## 6822 6822 infarct fear
## 6823 6823 infarct negative
## 6824 6824 infarct surprise
## 6825 6825 infect disgust
## 6826 6826 infect negative
## 6827 6827 infection fear
## 6828 6828 infection negative
## 6829 6829 infectious disgust
## 6830 6830 infectious fear
## 6831 6831 infectious negative
## 6832 6832 infectious sadness
## 6833 6833 inferior negative
## 6834 6834 inferior sadness
## 6835 6835 inferiority negative
## 6836 6836 inferno anger
## 6837 6837 inferno fear
## 6838 6838 inferno negative
## 6839 6839 infertility negative
## 6840 6840 infertility sadness
## 6841 6841 infestation disgust
## 6842 6842 infestation fear
## 6843 6843 infestation negative
## 6844 6844 infidel anger
## 6845 6845 infidel disgust
## 6846 6846 infidel fear
## 6847 6847 infidel negative
## 6848 6848 infidelity anger
## 6849 6849 infidelity disgust
## 6850 6850 infidelity fear
## 6851 6851 infidelity negative
## 6852 6852 infidelity sadness
## 6853 6853 infiltration negative
## 6854 6854 infiltration positive
## 6855 6855 infinite positive
## 6856 6856 infinity anticipation
## 6857 6857 infinity joy
## 6858 6858 infinity positive
## 6859 6859 infinity trust
## 6860 6860 infirm negative
## 6861 6861 infirmity fear
## 6862 6862 infirmity negative
## 6863 6863 inflammation negative
## 6864 6864 inflated negative
## 6865 6865 inflation fear
## 6866 6866 inflation negative
## 6867 6867 inflict anger
## 6868 6868 inflict fear
## 6869 6869 inflict negative
## 6870 6870 inflict sadness
## 6871 6871 infliction fear
## 6872 6872 infliction negative
## 6873 6873 infliction sadness
## 6874 6874 influence negative
## 6875 6875 influence positive
## 6876 6876 influential positive
## 6877 6877 influential trust
## 6878 6878 influenza negative
## 6879 6879 inform trust
## 6880 6880 information positive
## 6881 6881 informer negative
## 6882 6882 infraction anger
## 6883 6883 infraction negative
## 6884 6884 infrequent surprise
## 6885 6885 infrequently negative
## 6886 6886 infringement negative
## 6887 6887 ingenious positive
## 6888 6888 inheritance anticipation
## 6889 6889 inheritance joy
## 6890 6890 inheritance positive
## 6891 6891 inheritance surprise
## 6892 6892 inheritance trust
## 6893 6893 inhibit anger
## 6894 6894 inhibit disgust
## 6895 6895 inhibit negative
## 6896 6896 inhibit sadness
## 6897 6897 inhospitable negative
## 6898 6898 inhospitable sadness
## 6899 6899 inhuman anger
## 6900 6900 inhuman disgust
## 6901 6901 inhuman fear
## 6902 6902 inhuman negative
## 6903 6903 inhuman sadness
## 6904 6904 inhumanity negative
## 6905 6905 inhumanity sadness
## 6906 6906 inimical anger
## 6907 6907 inimical negative
## 6908 6908 inimical sadness
## 6909 6909 inimitable positive
## 6910 6910 inimitable trust
## 6911 6911 iniquity disgust
## 6912 6912 iniquity negative
## 6913 6913 injection fear
## 6914 6914 injunction negative
## 6915 6915 injure anger
## 6916 6916 injure fear
## 6917 6917 injure negative
## 6918 6918 injure sadness
## 6919 6919 injured fear
## 6920 6920 injured negative
## 6921 6921 injured sadness
## 6922 6922 injurious anger
## 6923 6923 injurious fear
## 6924 6924 injurious negative
## 6925 6925 injurious sadness
## 6926 6926 injury anger
## 6927 6927 injury fear
## 6928 6928 injury negative
## 6929 6929 injury sadness
## 6930 6930 injustice anger
## 6931 6931 injustice negative
## 6932 6932 inmate disgust
## 6933 6933 inmate fear
## 6934 6934 inmate negative
## 6935 6935 innocence positive
## 6936 6936 innocent positive
## 6937 6937 innocent trust
## 6938 6938 innocently positive
## 6939 6939 innocuous positive
## 6940 6940 innovate positive
## 6941 6941 innovation positive
## 6942 6942 inoculation anticipation
## 6943 6943 inoculation trust
## 6944 6944 inoperative anger
## 6945 6945 inoperative negative
## 6946 6946 inquirer positive
## 6947 6947 inquiry anticipation
## 6948 6948 inquiry positive
## 6949 6949 inquisitive positive
## 6950 6950 insane anger
## 6951 6951 insane fear
## 6952 6952 insane negative
## 6953 6953 insanity anger
## 6954 6954 insanity disgust
## 6955 6955 insanity fear
## 6956 6956 insanity negative
## 6957 6957 insanity sadness
## 6958 6958 insecure anger
## 6959 6959 insecure fear
## 6960 6960 insecure negative
## 6961 6961 insecure sadness
## 6962 6962 insecurity fear
## 6963 6963 insecurity negative
## 6964 6964 inseparable joy
## 6965 6965 inseparable positive
## 6966 6966 inseparable trust
## 6967 6967 insidious anger
## 6968 6968 insidious disgust
## 6969 6969 insidious fear
## 6970 6970 insidious negative
## 6971 6971 insignia positive
## 6972 6972 insignificance negative
## 6973 6973 insignificant anger
## 6974 6974 insignificant negative
## 6975 6975 insignificant sadness
## 6976 6976 insipid negative
## 6977 6977 insolent negative
## 6978 6978 insolvency fear
## 6979 6979 insolvency negative
## 6980 6980 insolvency sadness
## 6981 6981 insolvency surprise
## 6982 6982 insolvent fear
## 6983 6983 insolvent negative
## 6984 6984 insolvent sadness
## 6985 6985 insolvent trust
## 6986 6986 inspector positive
## 6987 6987 inspiration anticipation
## 6988 6988 inspiration joy
## 6989 6989 inspiration positive
## 6990 6990 inspire anticipation
## 6991 6991 inspire joy
## 6992 6992 inspire positive
## 6993 6993 inspire trust
## 6994 6994 inspired joy
## 6995 6995 inspired positive
## 6996 6996 inspired surprise
## 6997 6997 inspired trust
## 6998 6998 instability disgust
## 6999 6999 instability fear
## 7000 7000 instability negative
## 7001 7001 install anticipation
## 7002 7002 instigate negative
## 7003 7003 instigation negative
## 7004 7004 instinctive anger
## 7005 7005 instinctive disgust
## 7006 7006 instinctive fear
## 7007 7007 instinctive positive
## 7008 7008 institute trust
## 7009 7009 instruct positive
## 7010 7010 instruct trust
## 7011 7011 instruction positive
## 7012 7012 instruction trust
## 7013 7013 instructions anticipation
## 7014 7014 instructions trust
## 7015 7015 instructor anticipation
## 7016 7016 instructor positive
## 7017 7017 instructor trust
## 7018 7018 instrumental positive
## 7019 7019 insufficiency anger
## 7020 7020 insufficiency negative
## 7021 7021 insufficient negative
## 7022 7022 insufficiently negative
## 7023 7023 insulation trust
## 7024 7024 insult anger
## 7025 7025 insult disgust
## 7026 7026 insult negative
## 7027 7027 insult sadness
## 7028 7028 insult surprise
## 7029 7029 insulting anger
## 7030 7030 insulting disgust
## 7031 7031 insulting fear
## 7032 7032 insulting negative
## 7033 7033 insulting sadness
## 7034 7034 insure positive
## 7035 7035 insure trust
## 7036 7036 insurgent negative
## 7037 7037 insurmountable fear
## 7038 7038 insurmountable negative
## 7039 7039 insurmountable sadness
## 7040 7040 insurrection anger
## 7041 7041 insurrection negative
## 7042 7042 intact positive
## 7043 7043 intact trust
## 7044 7044 integrity positive
## 7045 7045 integrity trust
## 7046 7046 intellect positive
## 7047 7047 intellectual positive
## 7048 7048 intelligence fear
## 7049 7049 intelligence joy
## 7050 7050 intelligence positive
## 7051 7051 intelligence trust
## 7052 7052 intelligent positive
## 7053 7053 intelligent trust
## 7054 7054 intend trust
## 7055 7055 intended anticipation
## 7056 7056 intended positive
## 7057 7057 intense anger
## 7058 7058 intense disgust
## 7059 7059 intense fear
## 7060 7060 intense joy
## 7061 7061 intense negative
## 7062 7062 intense positive
## 7063 7063 intense surprise
## 7064 7064 intense trust
## 7065 7065 inter negative
## 7066 7066 inter sadness
## 7067 7067 intercede fear
## 7068 7068 intercede sadness
## 7069 7069 intercession trust
## 7070 7070 intercourse positive
## 7071 7071 interdiction negative
## 7072 7072 interest positive
## 7073 7073 interested disgust
## 7074 7074 interested positive
## 7075 7075 interested sadness
## 7076 7076 interesting positive
## 7077 7077 interference negative
## 7078 7078 interim anticipation
## 7079 7079 interior disgust
## 7080 7080 interior positive
## 7081 7081 interior trust
## 7082 7082 interlocutory positive
## 7083 7083 interlude positive
## 7084 7084 interment negative
## 7085 7085 interment sadness
## 7086 7086 interminable anger
## 7087 7087 interminable anticipation
## 7088 7088 interminable negative
## 7089 7089 interminable positive
## 7090 7090 intermission anticipation
## 7091 7091 interrogate fear
## 7092 7092 interrogation fear
## 7093 7093 interrupt anger
## 7094 7094 interrupt negative
## 7095 7095 interrupt surprise
## 7096 7096 interrupted negative
## 7097 7097 interrupted sadness
## 7098 7098 intervention negative
## 7099 7099 intervention positive
## 7100 7100 intervention sadness
## 7101 7101 interviewer fear
## 7102 7102 intestate negative
## 7103 7103 intestinal disgust
## 7104 7104 intimate anticipation
## 7105 7105 intimate joy
## 7106 7106 intimate positive
## 7107 7107 intimate trust
## 7108 7108 intimately anticipation
## 7109 7109 intimately fear
## 7110 7110 intimately joy
## 7111 7111 intimidate fear
## 7112 7112 intimidate negative
## 7113 7113 intimidation anger
## 7114 7114 intimidation fear
## 7115 7115 intimidation negative
## 7116 7116 intolerable anger
## 7117 7117 intolerable negative
## 7118 7118 intolerance anger
## 7119 7119 intolerance disgust
## 7120 7120 intolerance fear
## 7121 7121 intolerance negative
## 7122 7122 intolerant anger
## 7123 7123 intolerant disgust
## 7124 7124 intolerant fear
## 7125 7125 intolerant negative
## 7126 7126 intolerant sadness
## 7127 7127 intonation positive
## 7128 7128 intoxicated disgust
## 7129 7129 intoxicated negative
## 7130 7130 intractable anger
## 7131 7131 intractable negative
## 7132 7132 intrepid positive
## 7133 7133 intrigue anticipation
## 7134 7134 intrigue fear
## 7135 7135 intrigue negative
## 7136 7136 intrigue surprise
## 7137 7137 intruder anger
## 7138 7138 intruder fear
## 7139 7139 intruder negative
## 7140 7140 intruder surprise
## 7141 7141 intrusion fear
## 7142 7142 intrusion negative
## 7143 7143 intrusive anger
## 7144 7144 intrusive disgust
## 7145 7145 intrusive fear
## 7146 7146 intrusive negative
## 7147 7147 intrusive surprise
## 7148 7148 intuition positive
## 7149 7149 intuition trust
## 7150 7150 intuitive positive
## 7151 7151 intuitively anticipation
## 7152 7152 invade anger
## 7153 7153 invade fear
## 7154 7154 invade negative
## 7155 7155 invade sadness
## 7156 7156 invade surprise
## 7157 7157 invader anger
## 7158 7158 invader fear
## 7159 7159 invader negative
## 7160 7160 invader sadness
## 7161 7161 invalid sadness
## 7162 7162 invalidate negative
## 7163 7163 invalidation negative
## 7164 7164 invalidity negative
## 7165 7165 invariably positive
## 7166 7166 invasion anger
## 7167 7167 invasion negative
## 7168 7168 inventive positive
## 7169 7169 inventor positive
## 7170 7170 investigate positive
## 7171 7171 investigation anticipation
## 7172 7172 invigorate positive
## 7173 7173 invitation anticipation
## 7174 7174 invitation positive
## 7175 7175 invite anticipation
## 7176 7176 invite joy
## 7177 7177 invite positive
## 7178 7178 invite surprise
## 7179 7179 invite trust
## 7180 7180 inviting anticipation
## 7181 7181 inviting joy
## 7182 7182 inviting positive
## 7183 7183 inviting surprise
## 7184 7184 inviting trust
## 7185 7185 invocation anticipation
## 7186 7186 invocation trust
## 7187 7187 invoke anticipation
## 7188 7188 involuntary negative
## 7189 7189 involution anger
## 7190 7190 involution negative
## 7191 7191 involvement anger
## 7192 7192 irate anger
## 7193 7193 irate negative
## 7194 7194 ire anger
## 7195 7195 ire negative
## 7196 7196 iris fear
## 7197 7197 iron positive
## 7198 7198 iron trust
## 7199 7199 irons negative
## 7200 7200 irrational disgust
## 7201 7201 irrational fear
## 7202 7202 irrational negative
## 7203 7203 irrationality negative
## 7204 7204 irreconcilable anger
## 7205 7205 irreconcilable fear
## 7206 7206 irreconcilable negative
## 7207 7207 irreconcilable sadness
## 7208 7208 irreducible positive
## 7209 7209 irrefutable positive
## 7210 7210 irrefutable trust
## 7211 7211 irregular negative
## 7212 7212 irregularity negative
## 7213 7213 irrelevant negative
## 7214 7214 irreparable fear
## 7215 7215 irreparable negative
## 7216 7216 irreparable sadness
## 7217 7217 irresponsible negative
## 7218 7218 irreverent negative
## 7219 7219 irrevocable negative
## 7220 7220 irritability anger
## 7221 7221 irritability negative
## 7222 7222 irritable anger
## 7223 7223 irritable negative
## 7224 7224 irritating anger
## 7225 7225 irritating disgust
## 7226 7226 irritating negative
## 7227 7227 irritation anger
## 7228 7228 irritation disgust
## 7229 7229 irritation negative
## 7230 7230 irritation sadness
## 7231 7231 isolate sadness
## 7232 7232 isolated fear
## 7233 7233 isolated negative
## 7234 7234 isolated sadness
## 7235 7235 isolation negative
## 7236 7236 isolation sadness
## 7237 7237 jab anger
## 7238 7238 jabber negative
## 7239 7239 jackpot anticipation
## 7240 7240 jackpot joy
## 7241 7241 jackpot positive
## 7242 7242 jackpot surprise
## 7243 7243 jail fear
## 7244 7244 jail negative
## 7245 7245 jail sadness
## 7246 7246 jam positive
## 7247 7247 janitor disgust
## 7248 7248 jargon negative
## 7249 7249 jarring fear
## 7250 7250 jarring negative
## 7251 7251 jarring sadness
## 7252 7252 jaundice fear
## 7253 7253 jaundice negative
## 7254 7254 jaws fear
## 7255 7255 jealous anger
## 7256 7256 jealous disgust
## 7257 7257 jealous negative
## 7258 7258 jealousy anger
## 7259 7259 jealousy disgust
## 7260 7260 jealousy fear
## 7261 7261 jealousy negative
## 7262 7262 jealousy sadness
## 7263 7263 jeopardize anger
## 7264 7264 jeopardize fear
## 7265 7265 jeopardize negative
## 7266 7266 jeopardy anticipation
## 7267 7267 jeopardy fear
## 7268 7268 jeopardy negative
## 7269 7269 jerk anger
## 7270 7270 jerk surprise
## 7271 7271 jest joy
## 7272 7272 jest positive
## 7273 7273 jest surprise
## 7274 7274 job positive
## 7275 7275 john disgust
## 7276 7276 john negative
## 7277 7277 join positive
## 7278 7278 joined positive
## 7279 7279 joke negative
## 7280 7280 joker joy
## 7281 7281 joker positive
## 7282 7282 joker surprise
## 7283 7283 joking positive
## 7284 7284 jolt surprise
## 7285 7285 jornada negative
## 7286 7286 journalism trust
## 7287 7287 journalist positive
## 7288 7288 journey anticipation
## 7289 7289 journey fear
## 7290 7290 journey joy
## 7291 7291 journey positive
## 7292 7292 journeyman trust
## 7293 7293 jovial joy
## 7294 7294 jovial positive
## 7295 7295 joy joy
## 7296 7296 joy positive
## 7297 7297 joyful joy
## 7298 7298 joyful positive
## 7299 7299 joyful trust
## 7300 7300 joyous joy
## 7301 7301 joyous positive
## 7302 7302 jubilant joy
## 7303 7303 jubilant positive
## 7304 7304 jubilant surprise
## 7305 7305 jubilant trust
## 7306 7306 jubilee joy
## 7307 7307 jubilee positive
## 7308 7308 jubilee surprise
## 7309 7309 judgment surprise
## 7310 7310 judicial anticipation
## 7311 7311 judicial positive
## 7312 7312 judicial trust
## 7313 7313 judiciary anticipation
## 7314 7314 judiciary trust
## 7315 7315 judicious positive
## 7316 7316 judicious trust
## 7317 7317 jumble negative
## 7318 7318 jump joy
## 7319 7319 jump positive
## 7320 7320 jungle fear
## 7321 7321 junk negative
## 7322 7322 junta negative
## 7323 7323 jurisprudence sadness
## 7324 7324 jurist trust
## 7325 7325 jury trust
## 7326 7326 justice positive
## 7327 7327 justice trust
## 7328 7328 justifiable positive
## 7329 7329 justifiable trust
## 7330 7330 justification positive
## 7331 7331 juvenile negative
## 7332 7332 keepsake positive
## 7333 7333 ken positive
## 7334 7334 kennel sadness
## 7335 7335 kern negative
## 7336 7336 kerosene fear
## 7337 7337 keynote positive
## 7338 7338 keystone positive
## 7339 7339 khan fear
## 7340 7340 khan trust
## 7341 7341 kick anger
## 7342 7342 kick negative
## 7343 7343 kicking anger
## 7344 7344 kidnap anger
## 7345 7345 kidnap fear
## 7346 7346 kidnap negative
## 7347 7347 kidnap sadness
## 7348 7348 kidnap surprise
## 7349 7349 kill fear
## 7350 7350 kill negative
## 7351 7351 kill sadness
## 7352 7352 killing anger
## 7353 7353 killing fear
## 7354 7354 killing negative
## 7355 7355 killing sadness
## 7356 7356 kind joy
## 7357 7357 kind positive
## 7358 7358 kind trust
## 7359 7359 kindness positive
## 7360 7360 kindred anticipation
## 7361 7361 kindred joy
## 7362 7362 kindred positive
## 7363 7363 kindred trust
## 7364 7364 king positive
## 7365 7365 kiss anticipation
## 7366 7366 kiss joy
## 7367 7367 kiss positive
## 7368 7368 kiss surprise
## 7369 7369 kite disgust
## 7370 7370 kite negative
## 7371 7371 kitten joy
## 7372 7372 kitten positive
## 7373 7373 kitten trust
## 7374 7374 knack positive
## 7375 7375 knell fear
## 7376 7376 knell negative
## 7377 7377 knell sadness
## 7378 7378 knickers trust
## 7379 7379 knight positive
## 7380 7380 knotted negative
## 7381 7381 knowing positive
## 7382 7382 knowledge positive
## 7383 7383 kudos joy
## 7384 7384 kudos positive
## 7385 7385 label trust
## 7386 7386 labor anticipation
## 7387 7387 labor joy
## 7388 7388 labor positive
## 7389 7389 labor surprise
## 7390 7390 labor trust
## 7391 7391 labored negative
## 7392 7392 labored sadness
## 7393 7393 laborious negative
## 7394 7394 labyrinth anticipation
## 7395 7395 labyrinth negative
## 7396 7396 lace anger
## 7397 7397 lace fear
## 7398 7398 lace negative
## 7399 7399 lace positive
## 7400 7400 lace sadness
## 7401 7401 lace trust
## 7402 7402 lack negative
## 7403 7403 lacking negative
## 7404 7404 lackluster negative
## 7405 7405 laden negative
## 7406 7406 lag negative
## 7407 7407 lagging anger
## 7408 7408 lagging anticipation
## 7409 7409 lagging disgust
## 7410 7410 lagging negative
## 7411 7411 lagging sadness
## 7412 7412 lair negative
## 7413 7413 lamb joy
## 7414 7414 lamb positive
## 7415 7415 lamb trust
## 7416 7416 lament disgust
## 7417 7417 lament fear
## 7418 7418 lament negative
## 7419 7419 lament sadness
## 7420 7420 lamenting sadness
## 7421 7421 land positive
## 7422 7422 landed positive
## 7423 7423 landmark trust
## 7424 7424 landslide fear
## 7425 7425 landslide negative
## 7426 7426 landslide sadness
## 7427 7427 languid negative
## 7428 7428 languish negative
## 7429 7429 languishing fear
## 7430 7430 languishing negative
## 7431 7431 languishing sadness
## 7432 7432 lapse negative
## 7433 7433 larceny disgust
## 7434 7434 larceny negative
## 7435 7435 larger disgust
## 7436 7436 larger surprise
## 7437 7437 larger trust
## 7438 7438 laser positive
## 7439 7439 laser trust
## 7440 7440 lash anger
## 7441 7441 lash fear
## 7442 7442 lash negative
## 7443 7443 late negative
## 7444 7444 late sadness
## 7445 7445 lateness negative
## 7446 7446 latent anger
## 7447 7447 latent anticipation
## 7448 7448 latent disgust
## 7449 7449 latent negative
## 7450 7450 latent surprise
## 7451 7451 latrines disgust
## 7452 7452 latrines negative
## 7453 7453 laudable positive
## 7454 7454 laugh joy
## 7455 7455 laugh positive
## 7456 7456 laugh surprise
## 7457 7457 laughable disgust
## 7458 7458 laughable negative
## 7459 7459 laughing joy
## 7460 7460 laughing positive
## 7461 7461 laughter anticipation
## 7462 7462 laughter joy
## 7463 7463 laughter positive
## 7464 7464 laughter surprise
## 7465 7465 launch anticipation
## 7466 7466 launch positive
## 7467 7467 laureate positive
## 7468 7468 laureate trust
## 7469 7469 laurel positive
## 7470 7470 laurels joy
## 7471 7471 laurels positive
## 7472 7472 lava anger
## 7473 7473 lava fear
## 7474 7474 lava negative
## 7475 7475 lavatory disgust
## 7476 7476 lavish positive
## 7477 7477 law trust
## 7478 7478 lawful positive
## 7479 7479 lawful trust
## 7480 7480 lawlessness anger
## 7481 7481 lawlessness fear
## 7482 7482 lawlessness negative
## 7483 7483 lawsuit anger
## 7484 7484 lawsuit disgust
## 7485 7485 lawsuit fear
## 7486 7486 lawsuit negative
## 7487 7487 lawsuit sadness
## 7488 7488 lawsuit surprise
## 7489 7489 lawyer anger
## 7490 7490 lawyer disgust
## 7491 7491 lawyer fear
## 7492 7492 lawyer negative
## 7493 7493 lax negative
## 7494 7494 lax sadness
## 7495 7495 laxative disgust
## 7496 7496 laxative fear
## 7497 7497 laxative negative
## 7498 7498 lazy negative
## 7499 7499 lead positive
## 7500 7500 leader positive
## 7501 7501 leader trust
## 7502 7502 leading trust
## 7503 7503 league positive
## 7504 7504 leak negative
## 7505 7505 leakage negative
## 7506 7506 leaky negative
## 7507 7507 leaning trust
## 7508 7508 learn positive
## 7509 7509 learning positive
## 7510 7510 leave negative
## 7511 7511 leave sadness
## 7512 7512 leave surprise
## 7513 7513 lecturer positive
## 7514 7514 leech negative
## 7515 7515 leeches disgust
## 7516 7516 leeches fear
## 7517 7517 leeches negative
## 7518 7518 leer disgust
## 7519 7519 leer negative
## 7520 7520 leery surprise
## 7521 7521 leeway positive
## 7522 7522 legal positive
## 7523 7523 legal trust
## 7524 7524 legalized anger
## 7525 7525 legalized fear
## 7526 7526 legalized joy
## 7527 7527 legalized positive
## 7528 7528 legalized trust
## 7529 7529 legendary positive
## 7530 7530 legibility positive
## 7531 7531 legible positive
## 7532 7532 legislator trust
## 7533 7533 legislature trust
## 7534 7534 legitimacy trust
## 7535 7535 leisure anticipation
## 7536 7536 leisure joy
## 7537 7537 leisure positive
## 7538 7538 leisure surprise
## 7539 7539 leisure trust
## 7540 7540 leisurely positive
## 7541 7541 lemma positive
## 7542 7542 lemon disgust
## 7543 7543 lemon negative
## 7544 7544 lender trust
## 7545 7545 lenient positive
## 7546 7546 leprosy disgust
## 7547 7547 leprosy fear
## 7548 7548 leprosy negative
## 7549 7549 leprosy sadness
## 7550 7550 lessen anticipation
## 7551 7551 lessen negative
## 7552 7552 lesser disgust
## 7553 7553 lesser negative
## 7554 7554 lesson anticipation
## 7555 7555 lesson positive
## 7556 7556 lesson trust
## 7557 7557 lethal disgust
## 7558 7558 lethal fear
## 7559 7559 lethal negative
## 7560 7560 lethal sadness
## 7561 7561 lethargy negative
## 7562 7562 lethargy sadness
## 7563 7563 letter anticipation
## 7564 7564 lettered anticipation
## 7565 7565 lettered positive
## 7566 7566 lettered trust
## 7567 7567 leukemia anger
## 7568 7568 leukemia fear
## 7569 7569 leukemia negative
## 7570 7570 leukemia sadness
## 7571 7571 levee trust
## 7572 7572 level positive
## 7573 7573 level trust
## 7574 7574 leverage positive
## 7575 7575 levy negative
## 7576 7576 lewd disgust
## 7577 7577 lewd negative
## 7578 7578 liaison negative
## 7579 7579 liar disgust
## 7580 7580 liar negative
## 7581 7581 libel anger
## 7582 7582 libel fear
## 7583 7583 libel negative
## 7584 7584 libel trust
## 7585 7585 liberal negative
## 7586 7586 liberal positive
## 7587 7587 liberate anger
## 7588 7588 liberate anticipation
## 7589 7589 liberate joy
## 7590 7590 liberate positive
## 7591 7591 liberate surprise
## 7592 7592 liberate trust
## 7593 7593 liberation anticipation
## 7594 7594 liberation joy
## 7595 7595 liberation positive
## 7596 7596 liberation surprise
## 7597 7597 liberty anticipation
## 7598 7598 liberty joy
## 7599 7599 liberty positive
## 7600 7600 liberty surprise
## 7601 7601 liberty trust
## 7602 7602 library positive
## 7603 7603 lick disgust
## 7604 7604 lick negative
## 7605 7605 lie anger
## 7606 7606 lie disgust
## 7607 7607 lie negative
## 7608 7608 lie sadness
## 7609 7609 lieutenant trust
## 7610 7610 lifeblood positive
## 7611 7611 lifeless fear
## 7612 7612 lifeless negative
## 7613 7613 lifeless sadness
## 7614 7614 lighthouse positive
## 7615 7615 lightning anger
## 7616 7616 lightning fear
## 7617 7617 lightning surprise
## 7618 7618 liking joy
## 7619 7619 liking positive
## 7620 7620 liking trust
## 7621 7621 limited anger
## 7622 7622 limited negative
## 7623 7623 limited sadness
## 7624 7624 limp negative
## 7625 7625 lines fear
## 7626 7626 linger anticipation
## 7627 7627 linguist positive
## 7628 7628 linguist trust
## 7629 7629 lint negative
## 7630 7630 lion fear
## 7631 7631 lion positive
## 7632 7632 liquor anger
## 7633 7633 liquor joy
## 7634 7634 liquor negative
## 7635 7635 liquor sadness
## 7636 7636 listless negative
## 7637 7637 listless sadness
## 7638 7638 lithe positive
## 7639 7639 litigant negative
## 7640 7640 litigate anger
## 7641 7641 litigate anticipation
## 7642 7642 litigate disgust
## 7643 7643 litigate fear
## 7644 7644 litigate negative
## 7645 7645 litigate sadness
## 7646 7646 litigation negative
## 7647 7647 litigious anger
## 7648 7648 litigious disgust
## 7649 7649 litigious negative
## 7650 7650 litter negative
## 7651 7651 livid anger
## 7652 7652 livid disgust
## 7653 7653 livid negative
## 7654 7654 loaf negative
## 7655 7655 loafer negative
## 7656 7656 loath anger
## 7657 7657 loath negative
## 7658 7658 loathe anger
## 7659 7659 loathe disgust
## 7660 7660 loathe negative
## 7661 7661 loathing disgust
## 7662 7662 loathing negative
## 7663 7663 loathsome anger
## 7664 7664 loathsome disgust
## 7665 7665 loathsome negative
## 7666 7666 lobbyist negative
## 7667 7667 localize anticipation
## 7668 7668 lockup fear
## 7669 7669 lockup negative
## 7670 7670 lockup sadness
## 7671 7671 locust fear
## 7672 7672 locust negative
## 7673 7673 lodging trust
## 7674 7674 lofty negative
## 7675 7675 logical positive
## 7676 7676 lone sadness
## 7677 7677 loneliness fear
## 7678 7678 loneliness negative
## 7679 7679 loneliness sadness
## 7680 7680 lonely anger
## 7681 7681 lonely disgust
## 7682 7682 lonely fear
## 7683 7683 lonely negative
## 7684 7684 lonely sadness
## 7685 7685 lonesome negative
## 7686 7686 lonesome sadness
## 7687 7687 long anticipation
## 7688 7688 longevity positive
## 7689 7689 longing anticipation
## 7690 7690 longing sadness
## 7691 7691 loo disgust
## 7692 7692 loo negative
## 7693 7693 loom anticipation
## 7694 7694 loom fear
## 7695 7695 loom negative
## 7696 7696 loon disgust
## 7697 7697 loon negative
## 7698 7698 loony negative
## 7699 7699 loot negative
## 7700 7700 lord disgust
## 7701 7701 lord negative
## 7702 7702 lord positive
## 7703 7703 lord trust
## 7704 7704 lordship positive
## 7705 7705 lose anger
## 7706 7706 lose disgust
## 7707 7707 lose fear
## 7708 7708 lose negative
## 7709 7709 lose sadness
## 7710 7710 lose surprise
## 7711 7711 losing anger
## 7712 7712 losing negative
## 7713 7713 losing sadness
## 7714 7714 loss anger
## 7715 7715 loss fear
## 7716 7716 loss negative
## 7717 7717 loss sadness
## 7718 7718 lost negative
## 7719 7719 lost sadness
## 7720 7720 lottery anticipation
## 7721 7721 loudness anger
## 7722 7722 loudness negative
## 7723 7723 lounge negative
## 7724 7724 louse disgust
## 7725 7725 louse negative
## 7726 7726 lovable joy
## 7727 7727 lovable positive
## 7728 7728 lovable trust
## 7729 7729 love joy
## 7730 7730 love positive
## 7731 7731 lovely anticipation
## 7732 7732 lovely joy
## 7733 7733 lovely positive
## 7734 7734 lovely sadness
## 7735 7735 lovely surprise
## 7736 7736 lovely trust
## 7737 7737 lovemaking joy
## 7738 7738 lovemaking positive
## 7739 7739 lovemaking trust
## 7740 7740 lover anticipation
## 7741 7741 lover joy
## 7742 7742 lover positive
## 7743 7743 lover trust
## 7744 7744 loving joy
## 7745 7745 loving positive
## 7746 7746 loving trust
## 7747 7747 lower negative
## 7748 7748 lower sadness
## 7749 7749 lowering negative
## 7750 7750 lowest negative
## 7751 7751 lowest sadness
## 7752 7752 lowlands negative
## 7753 7753 lowly negative
## 7754 7754 lowly sadness
## 7755 7755 loyal fear
## 7756 7756 loyal joy
## 7757 7757 loyal positive
## 7758 7758 loyal surprise
## 7759 7759 loyal trust
## 7760 7760 loyalty positive
## 7761 7761 loyalty trust
## 7762 7762 luck anticipation
## 7763 7763 luck joy
## 7764 7764 luck positive
## 7765 7765 luck surprise
## 7766 7766 lucky joy
## 7767 7767 lucky positive
## 7768 7768 lucky surprise
## 7769 7769 ludicrous negative
## 7770 7770 lull anticipation
## 7771 7771 lumbering negative
## 7772 7772 lump negative
## 7773 7773 lumpy disgust
## 7774 7774 lumpy negative
## 7775 7775 lunacy anger
## 7776 7776 lunacy disgust
## 7777 7777 lunacy fear
## 7778 7778 lunacy negative
## 7779 7779 lunacy sadness
## 7780 7780 lunatic anger
## 7781 7781 lunatic disgust
## 7782 7782 lunatic fear
## 7783 7783 lunatic negative
## 7784 7784 lunge surprise
## 7785 7785 lurch negative
## 7786 7786 lure negative
## 7787 7787 lurid disgust
## 7788 7788 lurid negative
## 7789 7789 lurk negative
## 7790 7790 lurking negative
## 7791 7791 luscious anticipation
## 7792 7792 luscious joy
## 7793 7793 luscious positive
## 7794 7794 lush disgust
## 7795 7795 lush negative
## 7796 7796 lush sadness
## 7797 7797 lust anticipation
## 7798 7798 lust negative
## 7799 7799 luster joy
## 7800 7800 luster positive
## 7801 7801 lustful negative
## 7802 7802 lustrous positive
## 7803 7803 lusty disgust
## 7804 7804 luxuriant positive
## 7805 7805 luxurious joy
## 7806 7806 luxurious positive
## 7807 7807 luxury joy
## 7808 7808 luxury positive
## 7809 7809 lying anger
## 7810 7810 lying disgust
## 7811 7811 lying negative
## 7812 7812 lynch anger
## 7813 7813 lynch disgust
## 7814 7814 lynch fear
## 7815 7815 lynch negative
## 7816 7816 lynch sadness
## 7817 7817 lyre joy
## 7818 7818 lyre positive
## 7819 7819 lyrical joy
## 7820 7820 lyrical positive
## 7821 7821 mace fear
## 7822 7822 mace negative
## 7823 7823 machine trust
## 7824 7824 mad anger
## 7825 7825 mad disgust
## 7826 7826 mad fear
## 7827 7827 mad negative
## 7828 7828 mad sadness
## 7829 7829 madden anger
## 7830 7830 madden fear
## 7831 7831 madden negative
## 7832 7832 madman anger
## 7833 7833 madman fear
## 7834 7834 madman negative
## 7835 7835 madness anger
## 7836 7836 madness fear
## 7837 7837 madness negative
## 7838 7838 mafia fear
## 7839 7839 mafia negative
## 7840 7840 mage fear
## 7841 7841 maggot disgust
## 7842 7842 maggot negative
## 7843 7843 magical anticipation
## 7844 7844 magical joy
## 7845 7845 magical positive
## 7846 7846 magical surprise
## 7847 7847 magician surprise
## 7848 7848 magnet positive
## 7849 7849 magnet trust
## 7850 7850 magnetism positive
## 7851 7851 magnetite positive
## 7852 7852 magnificence anticipation
## 7853 7853 magnificence joy
## 7854 7854 magnificence positive
## 7855 7855 magnificence trust
## 7856 7856 magnificent anticipation
## 7857 7857 magnificent joy
## 7858 7858 magnificent positive
## 7859 7859 magnificent surprise
## 7860 7860 magnificent trust
## 7861 7861 maiden positive
## 7862 7862 mail anticipation
## 7863 7863 main positive
## 7864 7864 mainstay positive
## 7865 7865 mainstay trust
## 7866 7866 maintenance trust
## 7867 7867 majestic anticipation
## 7868 7868 majestic joy
## 7869 7869 majestic positive
## 7870 7870 majestic surprise
## 7871 7871 majestic trust
## 7872 7872 majesty positive
## 7873 7873 majesty trust
## 7874 7874 major positive
## 7875 7875 majority joy
## 7876 7876 majority positive
## 7877 7877 majority trust
## 7878 7878 makeshift negative
## 7879 7879 malady negative
## 7880 7880 malaise negative
## 7881 7881 malaise sadness
## 7882 7882 malaria disgust
## 7883 7883 malaria fear
## 7884 7884 malaria negative
## 7885 7885 malaria sadness
## 7886 7886 malevolent anger
## 7887 7887 malevolent disgust
## 7888 7888 malevolent fear
## 7889 7889 malevolent negative
## 7890 7890 malevolent sadness
## 7891 7891 malfeasance disgust
## 7892 7892 malfeasance negative
## 7893 7893 malformation negative
## 7894 7894 malice anger
## 7895 7895 malice fear
## 7896 7896 malice negative
## 7897 7897 malicious anger
## 7898 7898 malicious disgust
## 7899 7899 malicious fear
## 7900 7900 malicious negative
## 7901 7901 malicious sadness
## 7902 7902 malign anger
## 7903 7903 malign disgust
## 7904 7904 malign negative
## 7905 7905 malignancy fear
## 7906 7906 malignancy negative
## 7907 7907 malignancy sadness
## 7908 7908 malignant anger
## 7909 7909 malignant fear
## 7910 7910 malignant negative
## 7911 7911 malpractice anger
## 7912 7912 malpractice negative
## 7913 7913 mamma trust
## 7914 7914 manage positive
## 7915 7915 manage trust
## 7916 7916 management positive
## 7917 7917 management trust
## 7918 7918 mandamus fear
## 7919 7919 mandamus negative
## 7920 7920 mandarin positive
## 7921 7921 mandarin trust
## 7922 7922 mange disgust
## 7923 7923 mange fear
## 7924 7924 mange negative
## 7925 7925 mangle anger
## 7926 7926 mangle disgust
## 7927 7927 mangle fear
## 7928 7928 mangle negative
## 7929 7929 mangle sadness
## 7930 7930 manhood positive
## 7931 7931 mania negative
## 7932 7932 maniac anger
## 7933 7933 maniac fear
## 7934 7934 maniac negative
## 7935 7935 maniacal negative
## 7936 7936 manifestation fear
## 7937 7937 manifested positive
## 7938 7938 manipulate negative
## 7939 7939 manipulation anger
## 7940 7940 manipulation fear
## 7941 7941 manipulation negative
## 7942 7942 manly positive
## 7943 7943 manna positive
## 7944 7944 mannered positive
## 7945 7945 manners positive
## 7946 7946 manslaughter anger
## 7947 7947 manslaughter disgust
## 7948 7948 manslaughter fear
## 7949 7949 manslaughter negative
## 7950 7950 manslaughter sadness
## 7951 7951 manslaughter surprise
## 7952 7952 manual trust
## 7953 7953 manufacturer positive
## 7954 7954 manure disgust
## 7955 7955 manure negative
## 7956 7956 mar negative
## 7957 7957 march positive
## 7958 7958 margin negative
## 7959 7959 margin sadness
## 7960 7960 marine trust
## 7961 7961 marked positive
## 7962 7962 marketable positive
## 7963 7963 maroon negative
## 7964 7964 marquis positive
## 7965 7965 marriage anticipation
## 7966 7966 marriage joy
## 7967 7967 marriage positive
## 7968 7968 marriage trust
## 7969 7969 marrow joy
## 7970 7970 marrow positive
## 7971 7971 marrow trust
## 7972 7972 marry anticipation
## 7973 7973 marry fear
## 7974 7974 marry joy
## 7975 7975 marry positive
## 7976 7976 marry surprise
## 7977 7977 marry trust
## 7978 7978 marshal positive
## 7979 7979 marshal trust
## 7980 7980 martial anger
## 7981 7981 martingale negative
## 7982 7982 martyr fear
## 7983 7983 martyr negative
## 7984 7984 martyr sadness
## 7985 7985 martyrdom fear
## 7986 7986 martyrdom negative
## 7987 7987 martyrdom sadness
## 7988 7988 marvel positive
## 7989 7989 marvel surprise
## 7990 7990 marvelous joy
## 7991 7991 marvelous positive
## 7992 7992 marvelously joy
## 7993 7993 marvelously positive
## 7994 7994 masculine positive
## 7995 7995 masochism anger
## 7996 7996 masochism disgust
## 7997 7997 masochism fear
## 7998 7998 masochism negative
## 7999 7999 massacre anger
## 8000 8000 massacre disgust
## 8001 8001 massacre fear
## 8002 8002 massacre negative
## 8003 8003 massacre sadness
## 8004 8004 massage joy
## 8005 8005 massage positive
## 8006 8006 master positive
## 8007 8007 masterpiece joy
## 8008 8008 masterpiece positive
## 8009 8009 mastery anger
## 8010 8010 mastery joy
## 8011 8011 mastery positive
## 8012 8012 mastery trust
## 8013 8013 matchmaker anticipation
## 8014 8014 mate positive
## 8015 8015 mate trust
## 8016 8016 materialism negative
## 8017 8017 materialist disgust
## 8018 8018 materialist negative
## 8019 8019 maternal anticipation
## 8020 8020 maternal negative
## 8021 8021 maternal positive
## 8022 8022 mathematical trust
## 8023 8023 matrimony anticipation
## 8024 8024 matrimony joy
## 8025 8025 matrimony positive
## 8026 8026 matrimony trust
## 8027 8027 matron positive
## 8028 8028 matron trust
## 8029 8029 mausoleum sadness
## 8030 8030 maxim trust
## 8031 8031 maximum positive
## 8032 8032 mayor positive
## 8033 8033 meadow positive
## 8034 8034 meandering negative
## 8035 8035 meaningless negative
## 8036 8036 meaningless sadness
## 8037 8037 measles disgust
## 8038 8038 measles fear
## 8039 8039 measles negative
## 8040 8040 measles sadness
## 8041 8041 measure trust
## 8042 8042 measured positive
## 8043 8043 measured trust
## 8044 8044 medal anticipation
## 8045 8045 medal joy
## 8046 8046 medal positive
## 8047 8047 medal surprise
## 8048 8048 medal trust
## 8049 8049 meddle anger
## 8050 8050 meddle negative
## 8051 8051 mediate anticipation
## 8052 8052 mediate positive
## 8053 8053 mediate trust
## 8054 8054 mediation positive
## 8055 8055 mediator anticipation
## 8056 8056 mediator positive
## 8057 8057 mediator trust
## 8058 8058 medical anticipation
## 8059 8059 medical fear
## 8060 8060 medical positive
## 8061 8061 medical trust
## 8062 8062 mediocre negative
## 8063 8063 mediocrity negative
## 8064 8064 meditate anticipation
## 8065 8065 meditate joy
## 8066 8066 meditate positive
## 8067 8067 meditate trust
## 8068 8068 mediterranean positive
## 8069 8069 medley positive
## 8070 8070 meek sadness
## 8071 8071 melancholic negative
## 8072 8072 melancholic sadness
## 8073 8073 melancholy negative
## 8074 8074 melancholy sadness
## 8075 8075 melee fear
## 8076 8076 melee negative
## 8077 8077 melodrama anger
## 8078 8078 melodrama negative
## 8079 8079 melodrama sadness
## 8080 8080 meltdown negative
## 8081 8081 meltdown sadness
## 8082 8082 memento positive
## 8083 8083 memorable joy
## 8084 8084 memorable positive
## 8085 8085 memorable surprise
## 8086 8086 memorable trust
## 8087 8087 memorials sadness
## 8088 8088 menace anger
## 8089 8089 menace fear
## 8090 8090 menace negative
## 8091 8091 menacing anger
## 8092 8092 menacing fear
## 8093 8093 menacing negative
## 8094 8094 mending positive
## 8095 8095 menial negative
## 8096 8096 menses positive
## 8097 8097 mentor positive
## 8098 8098 mentor trust
## 8099 8099 mercenary fear
## 8100 8100 mercenary negative
## 8101 8101 merchant trust
## 8102 8102 merciful positive
## 8103 8103 merciless fear
## 8104 8104 merciless negative
## 8105 8105 mercy positive
## 8106 8106 merge anticipation
## 8107 8107 merge positive
## 8108 8108 merit positive
## 8109 8109 merit trust
## 8110 8110 meritorious joy
## 8111 8111 meritorious positive
## 8112 8112 meritorious trust
## 8113 8113 merriment joy
## 8114 8114 merriment positive
## 8115 8115 merriment surprise
## 8116 8116 merry joy
## 8117 8117 merry positive
## 8118 8118 mess disgust
## 8119 8119 mess negative
## 8120 8120 messenger trust
## 8121 8121 messy disgust
## 8122 8122 messy negative
## 8123 8123 metastasis negative
## 8124 8124 methanol negative
## 8125 8125 metropolitan positive
## 8126 8126 mettle positive
## 8127 8127 microscope trust
## 8128 8128 microscopy positive
## 8129 8129 midwife anticipation
## 8130 8130 midwife joy
## 8131 8131 midwife negative
## 8132 8132 midwife positive
## 8133 8133 midwife trust
## 8134 8134 midwifery positive
## 8135 8135 mighty anger
## 8136 8136 mighty fear
## 8137 8137 mighty joy
## 8138 8138 mighty positive
## 8139 8139 mighty trust
## 8140 8140 mildew disgust
## 8141 8141 mildew negative
## 8142 8142 military fear
## 8143 8143 militia anger
## 8144 8144 militia fear
## 8145 8145 militia negative
## 8146 8146 militia sadness
## 8147 8147 mill anticipation
## 8148 8148 mime positive
## 8149 8149 mimicry negative
## 8150 8150 mimicry surprise
## 8151 8151 mindful positive
## 8152 8152 mindfulness positive
## 8153 8153 minimize negative
## 8154 8154 minimum negative
## 8155 8155 ministry joy
## 8156 8156 ministry positive
## 8157 8157 ministry trust
## 8158 8158 minority negative
## 8159 8159 miracle anticipation
## 8160 8160 miracle joy
## 8161 8161 miracle positive
## 8162 8162 miracle surprise
## 8163 8163 miracle trust
## 8164 8164 miraculous joy
## 8165 8165 miraculous positive
## 8166 8166 miraculous surprise
## 8167 8167 mire disgust
## 8168 8168 mire negative
## 8169 8169 mirth joy
## 8170 8170 mirth positive
## 8171 8171 misbehavior anger
## 8172 8172 misbehavior disgust
## 8173 8173 misbehavior negative
## 8174 8174 misbehavior surprise
## 8175 8175 miscarriage fear
## 8176 8176 miscarriage negative
## 8177 8177 miscarriage sadness
## 8178 8178 mischief negative
## 8179 8179 mischievous negative
## 8180 8180 misconception anger
## 8181 8181 misconception disgust
## 8182 8182 misconception fear
## 8183 8183 misconception negative
## 8184 8184 misconduct disgust
## 8185 8185 misconduct negative
## 8186 8186 miserable anger
## 8187 8187 miserable disgust
## 8188 8188 miserable negative
## 8189 8189 miserable sadness
## 8190 8190 miserably negative
## 8191 8191 miserably sadness
## 8192 8192 misery anger
## 8193 8193 misery disgust
## 8194 8194 misery fear
## 8195 8195 misery negative
## 8196 8196 misery sadness
## 8197 8197 misfortune fear
## 8198 8198 misfortune negative
## 8199 8199 misfortune sadness
## 8200 8200 misguided disgust
## 8201 8201 misguided negative
## 8202 8202 mishap disgust
## 8203 8203 mishap fear
## 8204 8204 mishap negative
## 8205 8205 mishap sadness
## 8206 8206 mishap surprise
## 8207 8207 misinterpretation negative
## 8208 8208 mislead anger
## 8209 8209 mislead fear
## 8210 8210 mislead negative
## 8211 8211 mislead trust
## 8212 8212 misleading anger
## 8213 8213 misleading disgust
## 8214 8214 misleading negative
## 8215 8215 mismanagement negative
## 8216 8216 mismatch negative
## 8217 8217 misnomer negative
## 8218 8218 misplace anger
## 8219 8219 misplace disgust
## 8220 8220 misplace negative
## 8221 8221 misplaced negative
## 8222 8222 misrepresent negative
## 8223 8223 misrepresentation negative
## 8224 8224 misrepresentation sadness
## 8225 8225 misrepresented anger
## 8226 8226 misrepresented negative
## 8227 8227 missile fear
## 8228 8228 missing fear
## 8229 8229 missing negative
## 8230 8230 missing sadness
## 8231 8231 missionary positive
## 8232 8232 misstatement anger
## 8233 8233 misstatement disgust
## 8234 8234 misstatement negative
## 8235 8235 mistake negative
## 8236 8236 mistake sadness
## 8237 8237 mistaken fear
## 8238 8238 mistaken negative
## 8239 8239 mistress anger
## 8240 8240 mistress disgust
## 8241 8241 mistress negative
## 8242 8242 mistrust disgust
## 8243 8243 mistrust fear
## 8244 8244 mistrust negative
## 8245 8245 misunderstand negative
## 8246 8246 misunderstanding anger
## 8247 8247 misunderstanding negative
## 8248 8248 misunderstanding sadness
## 8249 8249 misuse negative
## 8250 8250 mite disgust
## 8251 8251 mite negative
## 8252 8252 moan fear
## 8253 8253 moan sadness
## 8254 8254 moat trust
## 8255 8255 mob anger
## 8256 8256 mob fear
## 8257 8257 mob negative
## 8258 8258 mobile anticipation
## 8259 8259 mockery disgust
## 8260 8260 mockery negative
## 8261 8261 mocking anger
## 8262 8262 mocking disgust
## 8263 8263 mocking negative
## 8264 8264 mocking sadness
## 8265 8265 model positive
## 8266 8266 moderate positive
## 8267 8267 moderator positive
## 8268 8268 moderator trust
## 8269 8269 modest positive
## 8270 8270 modest trust
## 8271 8271 modesty positive
## 8272 8272 modify surprise
## 8273 8273 molestation anger
## 8274 8274 molestation disgust
## 8275 8275 molestation fear
## 8276 8276 molestation negative
## 8277 8277 molestation sadness
## 8278 8278 momentum anticipation
## 8279 8279 momentum positive
## 8280 8280 monetary anticipation
## 8281 8281 monetary positive
## 8282 8282 money anger
## 8283 8283 money anticipation
## 8284 8284 money joy
## 8285 8285 money positive
## 8286 8286 money surprise
## 8287 8287 money trust
## 8288 8288 monk positive
## 8289 8289 monk trust
## 8290 8290 monochrome disgust
## 8291 8291 monochrome negative
## 8292 8292 monogamy trust
## 8293 8293 monopolist negative
## 8294 8294 monsoon negative
## 8295 8295 monsoon sadness
## 8296 8296 monster fear
## 8297 8297 monster negative
## 8298 8298 monstrosity anger
## 8299 8299 monstrosity disgust
## 8300 8300 monstrosity fear
## 8301 8301 monstrosity negative
## 8302 8302 monstrosity surprise
## 8303 8303 monument positive
## 8304 8304 moody anger
## 8305 8305 moody negative
## 8306 8306 moody sadness
## 8307 8307 moorings trust
## 8308 8308 moot negative
## 8309 8309 moral anger
## 8310 8310 moral positive
## 8311 8311 moral trust
## 8312 8312 morality positive
## 8313 8313 morality trust
## 8314 8314 morals anger
## 8315 8315 morals anticipation
## 8316 8316 morals disgust
## 8317 8317 morals joy
## 8318 8318 morals positive
## 8319 8319 morals surprise
## 8320 8320 morals trust
## 8321 8321 morbid negative
## 8322 8322 morbid sadness
## 8323 8323 morbidity anger
## 8324 8324 morbidity disgust
## 8325 8325 morbidity fear
## 8326 8326 morbidity negative
## 8327 8327 morbidity sadness
## 8328 8328 morgue disgust
## 8329 8329 morgue fear
## 8330 8330 morgue negative
## 8331 8331 morgue sadness
## 8332 8332 moribund negative
## 8333 8333 moribund sadness
## 8334 8334 morn anticipation
## 8335 8335 moron negative
## 8336 8336 moronic negative
## 8337 8337 morrow anticipation
## 8338 8338 morsel negative
## 8339 8339 mortal negative
## 8340 8340 mortality anger
## 8341 8341 mortality fear
## 8342 8342 mortality negative
## 8343 8343 mortality sadness
## 8344 8344 mortar positive
## 8345 8345 mortgage fear
## 8346 8346 mortgagee trust
## 8347 8347 mortgagor fear
## 8348 8348 mortification anticipation
## 8349 8349 mortification disgust
## 8350 8350 mortification fear
## 8351 8351 mortification negative
## 8352 8352 mortification sadness
## 8353 8353 mortuary fear
## 8354 8354 mortuary negative
## 8355 8355 mortuary sadness
## 8356 8356 mosquito anger
## 8357 8357 mosquito disgust
## 8358 8358 mosquito negative
## 8359 8359 mother anticipation
## 8360 8360 mother joy
## 8361 8361 mother negative
## 8362 8362 mother positive
## 8363 8363 mother sadness
## 8364 8364 mother trust
## 8365 8365 motherhood joy
## 8366 8366 motherhood positive
## 8367 8367 motherhood trust
## 8368 8368 motion anticipation
## 8369 8369 motive positive
## 8370 8370 mountain anticipation
## 8371 8371 mourn negative
## 8372 8372 mourn sadness
## 8373 8373 mournful anger
## 8374 8374 mournful fear
## 8375 8375 mournful negative
## 8376 8376 mournful sadness
## 8377 8377 mourning negative
## 8378 8378 mourning sadness
## 8379 8379 mouth surprise
## 8380 8380 mouthful disgust
## 8381 8381 movable positive
## 8382 8382 mover positive
## 8383 8383 muck disgust
## 8384 8384 muck negative
## 8385 8385 mucous disgust
## 8386 8386 mucus disgust
## 8387 8387 mud negative
## 8388 8388 muddle negative
## 8389 8389 muddled negative
## 8390 8390 muddy disgust
## 8391 8391 muddy negative
## 8392 8392 muff anger
## 8393 8393 muff disgust
## 8394 8394 muff negative
## 8395 8395 mug anger
## 8396 8396 mug fear
## 8397 8397 mug negative
## 8398 8398 mug positive
## 8399 8399 mug sadness
## 8400 8400 mule anger
## 8401 8401 mule negative
## 8402 8402 mule trust
## 8403 8403 mum fear
## 8404 8404 mum negative
## 8405 8405 mumble negative
## 8406 8406 mumps negative
## 8407 8407 murder anger
## 8408 8408 murder disgust
## 8409 8409 murder fear
## 8410 8410 murder negative
## 8411 8411 murder sadness
## 8412 8412 murder surprise
## 8413 8413 murderer anger
## 8414 8414 murderer disgust
## 8415 8415 murderer fear
## 8416 8416 murderer negative
## 8417 8417 murderer sadness
## 8418 8418 murderous anger
## 8419 8419 murderous disgust
## 8420 8420 murderous fear
## 8421 8421 murderous negative
## 8422 8422 murderous sadness
## 8423 8423 murderous surprise
## 8424 8424 murky disgust
## 8425 8425 murky negative
## 8426 8426 murky sadness
## 8427 8427 muscular positive
## 8428 8428 music joy
## 8429 8429 music positive
## 8430 8430 music sadness
## 8431 8431 musical anger
## 8432 8432 musical anticipation
## 8433 8433 musical joy
## 8434 8434 musical positive
## 8435 8435 musical sadness
## 8436 8436 musical surprise
## 8437 8437 musical trust
## 8438 8438 musket fear
## 8439 8439 muss negative
## 8440 8440 musty disgust
## 8441 8441 musty negative
## 8442 8442 mutable anticipation
## 8443 8443 mutable positive
## 8444 8444 mutant negative
## 8445 8445 mutilated disgust
## 8446 8446 mutilated negative
## 8447 8447 mutilation anger
## 8448 8448 mutilation disgust
## 8449 8449 mutilation fear
## 8450 8450 mutilation negative
## 8451 8451 mutilation sadness
## 8452 8452 mutiny anger
## 8453 8453 mutiny disgust
## 8454 8454 mutiny fear
## 8455 8455 mutiny negative
## 8456 8456 mutiny surprise
## 8457 8457 mutter anger
## 8458 8458 mutter negative
## 8459 8459 mutual positive
## 8460 8460 muzzle fear
## 8461 8461 muzzle negative
## 8462 8462 myopia anger
## 8463 8463 myopia negative
## 8464 8464 myopia sadness
## 8465 8465 mysterious anticipation
## 8466 8466 mysterious fear
## 8467 8467 mysterious surprise
## 8468 8468 mystery anticipation
## 8469 8469 mystery surprise
## 8470 8470 mystic surprise
## 8471 8471 nab negative
## 8472 8472 nab surprise
## 8473 8473 nadir negative
## 8474 8474 nag anger
## 8475 8475 nag negative
## 8476 8476 naive negative
## 8477 8477 nameless disgust
## 8478 8478 nameless negative
## 8479 8479 nap joy
## 8480 8480 nap positive
## 8481 8481 napkin sadness
## 8482 8482 nappy disgust
## 8483 8483 nappy negative
## 8484 8484 narcotic negative
## 8485 8485 nascent anticipation
## 8486 8486 nasty anger
## 8487 8487 nasty disgust
## 8488 8488 nasty fear
## 8489 8489 nasty negative
## 8490 8490 nasty sadness
## 8491 8491 nation trust
## 8492 8492 naturalist positive
## 8493 8493 naughty negative
## 8494 8494 nausea disgust
## 8495 8495 nausea negative
## 8496 8496 nauseous disgust
## 8497 8497 nauseous negative
## 8498 8498 nauseous sadness
## 8499 8499 navigable anticipation
## 8500 8500 navigable positive
## 8501 8501 navigator anticipation
## 8502 8502 navigator trust
## 8503 8503 nay negative
## 8504 8504 neatly positive
## 8505 8505 necessity sadness
## 8506 8506 nectar positive
## 8507 8507 needful negative
## 8508 8508 needle positive
## 8509 8509 needy negative
## 8510 8510 nefarious disgust
## 8511 8511 nefarious fear
## 8512 8512 nefarious negative
## 8513 8513 nefarious sadness
## 8514 8514 nefarious surprise
## 8515 8515 negation anger
## 8516 8516 negation negative
## 8517 8517 negative negative
## 8518 8518 negative sadness
## 8519 8519 neglect negative
## 8520 8520 neglected anger
## 8521 8521 neglected disgust
## 8522 8522 neglected negative
## 8523 8523 neglected sadness
## 8524 8524 neglecting negative
## 8525 8525 negligence negative
## 8526 8526 negligent negative
## 8527 8527 negligently negative
## 8528 8528 negotiate positive
## 8529 8529 negotiate trust
## 8530 8530 negotiator positive
## 8531 8531 negro negative
## 8532 8532 negro sadness
## 8533 8533 neighbor anticipation
## 8534 8534 neighbor positive
## 8535 8535 neighbor trust
## 8536 8536 neighborhood anticipation
## 8537 8537 nepotism anger
## 8538 8538 nepotism disgust
## 8539 8539 nepotism negative
## 8540 8540 nepotism sadness
## 8541 8541 nerve positive
## 8542 8542 nervous anticipation
## 8543 8543 nervous fear
## 8544 8544 nervous negative
## 8545 8545 nervousness fear
## 8546 8546 nest trust
## 8547 8547 nestle positive
## 8548 8548 nestle trust
## 8549 8549 nether anger
## 8550 8550 nether fear
## 8551 8551 nether negative
## 8552 8552 nether sadness
## 8553 8553 nettle anger
## 8554 8554 nettle disgust
## 8555 8555 nettle negative
## 8556 8556 network anticipation
## 8557 8557 neuralgia fear
## 8558 8558 neuralgia negative
## 8559 8559 neuralgia sadness
## 8560 8560 neurosis fear
## 8561 8561 neurosis negative
## 8562 8562 neurosis sadness
## 8563 8563 neurotic disgust
## 8564 8564 neurotic fear
## 8565 8565 neurotic negative
## 8566 8566 neutral anticipation
## 8567 8567 neutral trust
## 8568 8568 neutrality trust
## 8569 8569 newcomer fear
## 8570 8570 newcomer surprise
## 8571 8571 nicotine disgust
## 8572 8572 nicotine negative
## 8573 8573 nightmare fear
## 8574 8574 nightmare negative
## 8575 8575 nihilism negative
## 8576 8576 nobility anticipation
## 8577 8577 nobility positive
## 8578 8578 nobility trust
## 8579 8579 noble positive
## 8580 8580 noble trust
## 8581 8581 nobleman positive
## 8582 8582 nobleman trust
## 8583 8583 noise negative
## 8584 8584 noisy anger
## 8585 8585 noisy negative
## 8586 8586 nomination positive
## 8587 8587 noncompliance anger
## 8588 8588 noncompliance anticipation
## 8589 8589 noncompliance fear
## 8590 8590 noncompliance negative
## 8591 8591 noncompliance sadness
## 8592 8592 nonsense negative
## 8593 8593 nonsensical negative
## 8594 8594 nonsensical sadness
## 8595 8595 noose negative
## 8596 8596 noose sadness
## 8597 8597 normality positive
## 8598 8598 nose disgust
## 8599 8599 notable joy
## 8600 8600 notable positive
## 8601 8601 notable trust
## 8602 8602 notables positive
## 8603 8603 notary trust
## 8604 8604 noted positive
## 8605 8605 nothingness negative
## 8606 8606 nothingness sadness
## 8607 8607 notification anticipation
## 8608 8608 notion positive
## 8609 8609 notoriety anger
## 8610 8610 notoriety disgust
## 8611 8611 notoriety fear
## 8612 8612 notoriety negative
## 8613 8613 notoriety positive
## 8614 8614 nourishment positive
## 8615 8615 noxious disgust
## 8616 8616 noxious fear
## 8617 8617 noxious negative
## 8618 8618 nuisance anger
## 8619 8619 nuisance negative
## 8620 8620 nul negative
## 8621 8621 nullify negative
## 8622 8622 nullify surprise
## 8623 8623 numb negative
## 8624 8624 numbers positive
## 8625 8625 numbness negative
## 8626 8626 numbness sadness
## 8627 8627 nun negative
## 8628 8628 nun trust
## 8629 8629 nurse positive
## 8630 8630 nurse trust
## 8631 8631 nursery joy
## 8632 8632 nursery positive
## 8633 8633 nursery trust
## 8634 8634 nurture anger
## 8635 8635 nurture anticipation
## 8636 8636 nurture disgust
## 8637 8637 nurture fear
## 8638 8638 nurture joy
## 8639 8639 nurture positive
## 8640 8640 nurture trust
## 8641 8641 nutritious positive
## 8642 8642 nutritious sadness
## 8643 8643 oaf negative
## 8644 8644 oak positive
## 8645 8645 oasis anticipation
## 8646 8646 oasis joy
## 8647 8647 oasis positive
## 8648 8648 oasis trust
## 8649 8649 oath positive
## 8650 8650 oath trust
## 8651 8651 obedience positive
## 8652 8652 obedience trust
## 8653 8653 obese disgust
## 8654 8654 obese negative
## 8655 8655 obesity disgust
## 8656 8656 obesity negative
## 8657 8657 obesity sadness
## 8658 8658 obey fear
## 8659 8659 obey trust
## 8660 8660 obi disgust
## 8661 8661 obi fear
## 8662 8662 obi negative
## 8663 8663 obit negative
## 8664 8664 obit sadness
## 8665 8665 obit surprise
## 8666 8666 obituary negative
## 8667 8667 obituary sadness
## 8668 8668 objection anger
## 8669 8669 objection negative
## 8670 8670 objectionable negative
## 8671 8671 objective anticipation
## 8672 8672 objective positive
## 8673 8673 objective trust
## 8674 8674 oblige negative
## 8675 8675 oblige trust
## 8676 8676 obliging anger
## 8677 8677 obliging anticipation
## 8678 8678 obliging disgust
## 8679 8679 obliging fear
## 8680 8680 obliging joy
## 8681 8681 obliging positive
## 8682 8682 obliging surprise
## 8683 8683 obliging trust
## 8684 8684 obligor fear
## 8685 8685 obligor negative
## 8686 8686 obliterate anger
## 8687 8687 obliterate fear
## 8688 8688 obliterate negative
## 8689 8689 obliterate sadness
## 8690 8690 obliterated anger
## 8691 8691 obliterated fear
## 8692 8692 obliterated negative
## 8693 8693 obliteration fear
## 8694 8694 obliteration negative
## 8695 8695 obliteration sadness
## 8696 8696 oblivion anger
## 8697 8697 oblivion fear
## 8698 8698 oblivion negative
## 8699 8699 obnoxious anger
## 8700 8700 obnoxious disgust
## 8701 8701 obnoxious negative
## 8702 8702 obnoxious sadness
## 8703 8703 obscene disgust
## 8704 8704 obscene negative
## 8705 8705 obscenity anger
## 8706 8706 obscenity disgust
## 8707 8707 obscenity negative
## 8708 8708 obscurity negative
## 8709 8709 observant positive
## 8710 8710 obstacle anger
## 8711 8711 obstacle fear
## 8712 8712 obstacle negative
## 8713 8713 obstacle sadness
## 8714 8714 obstetrician trust
## 8715 8715 obstinate negative
## 8716 8716 obstruct anger
## 8717 8717 obstruct fear
## 8718 8718 obstruct negative
## 8719 8719 obstruction negative
## 8720 8720 obstructive anger
## 8721 8721 obstructive negative
## 8722 8722 obtainable joy
## 8723 8723 obtainable positive
## 8724 8724 obtuse negative
## 8725 8725 obvious positive
## 8726 8726 obvious trust
## 8727 8727 occasional surprise
## 8728 8728 occult disgust
## 8729 8729 occult fear
## 8730 8730 occult negative
## 8731 8731 occupant positive
## 8732 8732 occupant trust
## 8733 8733 occupation positive
## 8734 8734 occupy positive
## 8735 8735 octopus disgust
## 8736 8736 oddity disgust
## 8737 8737 oddity negative
## 8738 8738 oddity sadness
## 8739 8739 oddity surprise
## 8740 8740 odious anger
## 8741 8741 odious disgust
## 8742 8742 odious fear
## 8743 8743 odious negative
## 8744 8744 odor negative
## 8745 8745 offend anger
## 8746 8746 offend disgust
## 8747 8747 offend negative
## 8748 8748 offended anger
## 8749 8749 offended negative
## 8750 8750 offended sadness
## 8751 8751 offender anger
## 8752 8752 offender disgust
## 8753 8753 offender fear
## 8754 8754 offender negative
## 8755 8755 offender sadness
## 8756 8756 offense anger
## 8757 8757 offense disgust
## 8758 8758 offense fear
## 8759 8759 offense negative
## 8760 8760 offense sadness
## 8761 8761 offensive anger
## 8762 8762 offensive disgust
## 8763 8763 offensive negative
## 8764 8764 offer positive
## 8765 8765 offering trust
## 8766 8766 offhand negative
## 8767 8767 officer positive
## 8768 8768 officer trust
## 8769 8769 official trust
## 8770 8770 offing negative
## 8771 8771 offset anticipation
## 8772 8772 offset positive
## 8773 8773 offshoot positive
## 8774 8774 ogre disgust
## 8775 8775 ogre fear
## 8776 8776 ogre negative
## 8777 8777 olfactory anticipation
## 8778 8778 olfactory negative
## 8779 8779 oligarchy negative
## 8780 8780 omen anticipation
## 8781 8781 omen fear
## 8782 8782 omen negative
## 8783 8783 ominous anticipation
## 8784 8784 ominous fear
## 8785 8785 ominous negative
## 8786 8786 omit negative
## 8787 8787 omnipotence fear
## 8788 8788 omnipotence negative
## 8789 8789 omnipotence positive
## 8790 8790 omniscient positive
## 8791 8791 omniscient trust
## 8792 8792 onerous anger
## 8793 8793 onerous negative
## 8794 8794 onerous sadness
## 8795 8795 ongoing anticipation
## 8796 8796 onset anticipation
## 8797 8797 onus negative
## 8798 8798 ooze disgust
## 8799 8799 ooze negative
## 8800 8800 opaque negative
## 8801 8801 openness positive
## 8802 8802 opera anger
## 8803 8803 opera anticipation
## 8804 8804 opera fear
## 8805 8805 opera joy
## 8806 8806 opera positive
## 8807 8807 opera sadness
## 8808 8808 opera surprise
## 8809 8809 opera trust
## 8810 8810 operatic negative
## 8811 8811 operation fear
## 8812 8812 operation trust
## 8813 8813 opiate negative
## 8814 8814 opinionated anger
## 8815 8815 opinionated negative
## 8816 8816 opium anger
## 8817 8817 opium disgust
## 8818 8818 opium fear
## 8819 8819 opium negative
## 8820 8820 opium sadness
## 8821 8821 opponent anger
## 8822 8822 opponent anticipation
## 8823 8823 opponent disgust
## 8824 8824 opponent fear
## 8825 8825 opponent negative
## 8826 8826 opportune joy
## 8827 8827 opportune positive
## 8828 8828 opportunity anticipation
## 8829 8829 opportunity positive
## 8830 8830 oppose negative
## 8831 8831 opposed anger
## 8832 8832 opposed fear
## 8833 8833 opposed negative
## 8834 8834 opposition anger
## 8835 8835 opposition negative
## 8836 8836 oppress anger
## 8837 8837 oppress disgust
## 8838 8838 oppress fear
## 8839 8839 oppress negative
## 8840 8840 oppress sadness
## 8841 8841 oppression anger
## 8842 8842 oppression disgust
## 8843 8843 oppression fear
## 8844 8844 oppression negative
## 8845 8845 oppression sadness
## 8846 8846 oppressive anger
## 8847 8847 oppressive disgust
## 8848 8848 oppressive fear
## 8849 8849 oppressive negative
## 8850 8850 oppressive sadness
## 8851 8851 oppressor anger
## 8852 8852 oppressor fear
## 8853 8853 oppressor negative
## 8854 8854 oppressor sadness
## 8855 8855 optimism anticipation
## 8856 8856 optimism joy
## 8857 8857 optimism positive
## 8858 8858 optimism surprise
## 8859 8859 optimism trust
## 8860 8860 optimist positive
## 8861 8861 optimist trust
## 8862 8862 option positive
## 8863 8863 optional positive
## 8864 8864 oracle anticipation
## 8865 8865 oracle positive
## 8866 8866 oracle trust
## 8867 8867 oration positive
## 8868 8868 orc anger
## 8869 8869 orc disgust
## 8870 8870 orc fear
## 8871 8871 orc negative
## 8872 8872 orchestra anger
## 8873 8873 orchestra joy
## 8874 8874 orchestra positive
## 8875 8875 orchestra sadness
## 8876 8876 orchestra trust
## 8877 8877 ordained positive
## 8878 8878 ordained trust
## 8879 8879 ordeal anger
## 8880 8880 ordeal negative
## 8881 8881 ordeal surprise
## 8882 8882 orderly positive
## 8883 8883 ordinance trust
## 8884 8884 ordination anticipation
## 8885 8885 ordination joy
## 8886 8886 ordination positive
## 8887 8887 ordination trust
## 8888 8888 ordnance fear
## 8889 8889 ordnance negative
## 8890 8890 organ anticipation
## 8891 8891 organ joy
## 8892 8892 organic positive
## 8893 8893 organization anticipation
## 8894 8894 organization joy
## 8895 8895 organization positive
## 8896 8896 organization surprise
## 8897 8897 organization trust
## 8898 8898 organize positive
## 8899 8899 organized positive
## 8900 8900 orgasm anticipation
## 8901 8901 orgasm joy
## 8902 8902 orgasm positive
## 8903 8903 originality positive
## 8904 8904 originality surprise
## 8905 8905 ornamented positive
## 8906 8906 ornate positive
## 8907 8907 orphan fear
## 8908 8908 orphan negative
## 8909 8909 orphan sadness
## 8910 8910 orthodoxy trust
## 8911 8911 ostensibly negative
## 8912 8912 oust anger
## 8913 8913 oust negative
## 8914 8914 oust sadness
## 8915 8915 outburst anger
## 8916 8916 outburst fear
## 8917 8917 outburst joy
## 8918 8918 outburst negative
## 8919 8919 outburst positive
## 8920 8920 outburst sadness
## 8921 8921 outburst surprise
## 8922 8922 outcast disgust
## 8923 8923 outcast fear
## 8924 8924 outcast negative
## 8925 8925 outcast sadness
## 8926 8926 outcome positive
## 8927 8927 outcry anger
## 8928 8928 outcry fear
## 8929 8929 outcry negative
## 8930 8930 outcry surprise
## 8931 8931 outdo anticipation
## 8932 8932 outdo positive
## 8933 8933 outhouse disgust
## 8934 8934 outhouse negative
## 8935 8935 outlandish negative
## 8936 8936 outlaw negative
## 8937 8937 outpost fear
## 8938 8938 outrage anger
## 8939 8939 outrage disgust
## 8940 8940 outrage negative
## 8941 8941 outrageous surprise
## 8942 8942 outsider fear
## 8943 8943 outstanding joy
## 8944 8944 outstanding negative
## 8945 8945 outstanding positive
## 8946 8946 outward positive
## 8947 8947 ovation negative
## 8948 8948 ovation sadness
## 8949 8949 overbearing anger
## 8950 8950 overbearing negative
## 8951 8951 overburden negative
## 8952 8952 overcast negative
## 8953 8953 overdo negative
## 8954 8954 overdose negative
## 8955 8955 overdue anticipation
## 8956 8956 overdue negative
## 8957 8957 overdue sadness
## 8958 8958 overdue surprise
## 8959 8959 overestimate surprise
## 8960 8960 overestimated negative
## 8961 8961 overflow negative
## 8962 8962 overgrown negative
## 8963 8963 overjoyed joy
## 8964 8964 overjoyed positive
## 8965 8965 overload negative
## 8966 8966 overload sadness
## 8967 8967 overpaid negative
## 8968 8968 overpower negative
## 8969 8969 overpowering anger
## 8970 8970 overpowering fear
## 8971 8971 overpowering negative
## 8972 8972 overpriced anger
## 8973 8973 overpriced disgust
## 8974 8974 overpriced negative
## 8975 8975 overpriced sadness
## 8976 8976 oversight negative
## 8977 8977 overt fear
## 8978 8978 overthrow anticipation
## 8979 8979 overthrow fear
## 8980 8980 overthrow negative
## 8981 8981 overture anticipation
## 8982 8982 overturn negative
## 8983 8983 overwhelm negative
## 8984 8984 overwhelmed negative
## 8985 8985 overwhelmed sadness
## 8986 8986 overwhelming positive
## 8987 8987 owing anger
## 8988 8988 owing anticipation
## 8989 8989 owing disgust
## 8990 8990 owing fear
## 8991 8991 owing negative
## 8992 8992 owing sadness
## 8993 8993 owing trust
## 8994 8994 ownership positive
## 8995 8995 oxidation negative
## 8996 8996 pacific positive
## 8997 8997 pact trust
## 8998 8998 pad positive
## 8999 8999 padding positive
## 9000 9000 paddle anticipation
## 9001 9001 paddle positive
## 9002 9002 pain fear
## 9003 9003 pain negative
## 9004 9004 pain sadness
## 9005 9005 pained fear
## 9006 9006 pained negative
## 9007 9007 pained sadness
## 9008 9008 painful anger
## 9009 9009 painful disgust
## 9010 9010 painful fear
## 9011 9011 painful negative
## 9012 9012 painful sadness
## 9013 9013 painfully negative
## 9014 9014 painfully sadness
## 9015 9015 pains negative
## 9016 9016 palatable positive
## 9017 9017 palliative positive
## 9018 9018 palpable surprise
## 9019 9019 palsy disgust
## 9020 9020 palsy fear
## 9021 9021 palsy negative
## 9022 9022 palsy sadness
## 9023 9023 panacea positive
## 9024 9024 panache positive
## 9025 9025 pandemic fear
## 9026 9026 pandemic negative
## 9027 9027 pandemic sadness
## 9028 9028 pang negative
## 9029 9029 pang surprise
## 9030 9030 panic fear
## 9031 9031 panic negative
## 9032 9032 panier positive
## 9033 9033 paprika positive
## 9034 9034 parachute fear
## 9035 9035 parade anticipation
## 9036 9036 parade fear
## 9037 9037 parade joy
## 9038 9038 parade negative
## 9039 9039 parade positive
## 9040 9040 parade surprise
## 9041 9041 paragon anticipation
## 9042 9042 paragon joy
## 9043 9043 paragon positive
## 9044 9044 paragon trust
## 9045 9045 paralysis anger
## 9046 9046 paralysis anticipation
## 9047 9047 paralysis fear
## 9048 9048 paralysis negative
## 9049 9049 paralysis sadness
## 9050 9050 paramount positive
## 9051 9051 paranoia fear
## 9052 9052 paranoia negative
## 9053 9053 paraphrase negative
## 9054 9054 paraphrase positive
## 9055 9055 parasite disgust
## 9056 9056 parasite fear
## 9057 9057 parasite negative
## 9058 9058 pardon positive
## 9059 9059 pare anger
## 9060 9060 pare anticipation
## 9061 9061 pare fear
## 9062 9062 pare negative
## 9063 9063 pare sadness
## 9064 9064 parentage positive
## 9065 9065 parietal positive
## 9066 9066 parietal trust
## 9067 9067 parish trust
## 9068 9068 parliament trust
## 9069 9069 parole anticipation
## 9070 9070 parrot disgust
## 9071 9071 parrot negative
## 9072 9072 parsimonious negative
## 9073 9073 partake positive
## 9074 9074 partake trust
## 9075 9075 participation positive
## 9076 9076 parting sadness
## 9077 9077 partisan negative
## 9078 9078 partner positive
## 9079 9079 partnership positive
## 9080 9080 partnership trust
## 9081 9081 passe negative
## 9082 9082 passenger anticipation
## 9083 9083 passion anticipation
## 9084 9084 passion joy
## 9085 9085 passion positive
## 9086 9086 passion trust
## 9087 9087 passionate anticipation
## 9088 9088 passionate joy
## 9089 9089 passionate positive
## 9090 9090 passionate trust
## 9091 9091 passive negative
## 9092 9092 passivity negative
## 9093 9093 pastime positive
## 9094 9094 pastor joy
## 9095 9095 pastor positive
## 9096 9096 pastor trust
## 9097 9097 pastry joy
## 9098 9098 pastry positive
## 9099 9099 pasture positive
## 9100 9100 patch negative
## 9101 9101 patent positive
## 9102 9102 pathetic disgust
## 9103 9103 pathetic negative
## 9104 9104 pathetic sadness
## 9105 9105 patience anticipation
## 9106 9106 patience positive
## 9107 9107 patience trust
## 9108 9108 patient anticipation
## 9109 9109 patient positive
## 9110 9110 patriarchal positive
## 9111 9111 patriarchal trust
## 9112 9112 patrol trust
## 9113 9113 patron positive
## 9114 9114 patron trust
## 9115 9115 patronage positive
## 9116 9116 patronage trust
## 9117 9117 patronizing negative
## 9118 9118 patter anger
## 9119 9119 patter negative
## 9120 9120 paucity anger
## 9121 9121 paucity disgust
## 9122 9122 paucity negative
## 9123 9123 paucity sadness
## 9124 9124 pauper negative
## 9125 9125 pauper sadness
## 9126 9126 pavement trust
## 9127 9127 pawn negative
## 9128 9128 pawn trust
## 9129 9129 pay anticipation
## 9130 9130 pay joy
## 9131 9131 pay positive
## 9132 9132 pay trust
## 9133 9133 payback anger
## 9134 9134 payback negative
## 9135 9135 payment negative
## 9136 9136 peace anticipation
## 9137 9137 peace joy
## 9138 9138 peace positive
## 9139 9139 peace trust
## 9140 9140 peaceable positive
## 9141 9141 peaceful anticipation
## 9142 9142 peaceful joy
## 9143 9143 peaceful positive
## 9144 9144 peaceful surprise
## 9145 9145 peaceful trust
## 9146 9146 peacock positive
## 9147 9147 peck positive
## 9148 9148 peculiarities negative
## 9149 9149 peculiarity positive
## 9150 9150 pedestrian negative
## 9151 9151 pedigree positive
## 9152 9152 pedigree trust
## 9153 9153 peerless positive
## 9154 9154 penal fear
## 9155 9155 penal negative
## 9156 9156 penal sadness
## 9157 9157 penalty anger
## 9158 9158 penalty fear
## 9159 9159 penalty negative
## 9160 9160 penalty sadness
## 9161 9161 penance fear
## 9162 9162 penance sadness
## 9163 9163 penchant positive
## 9164 9164 penetration anger
## 9165 9165 penetration fear
## 9166 9166 penetration negative
## 9167 9167 penitentiary anger
## 9168 9168 penitentiary negative
## 9169 9169 pensive sadness
## 9170 9170 perceive positive
## 9171 9171 perceive trust
## 9172 9172 perceptible positive
## 9173 9173 perchance surprise
## 9174 9174 perdition anger
## 9175 9175 perdition disgust
## 9176 9176 perdition fear
## 9177 9177 perdition negative
## 9178 9178 perdition sadness
## 9179 9179 perennial positive
## 9180 9180 perennial trust
## 9181 9181 perfect anticipation
## 9182 9182 perfect joy
## 9183 9183 perfect positive
## 9184 9184 perfect trust
## 9185 9185 perfection anticipation
## 9186 9186 perfection joy
## 9187 9187 perfection positive
## 9188 9188 perfection surprise
## 9189 9189 perfection trust
## 9190 9190 performer positive
## 9191 9191 peri surprise
## 9192 9192 peril anticipation
## 9193 9193 peril fear
## 9194 9194 peril negative
## 9195 9195 peril sadness
## 9196 9196 perilous anticipation
## 9197 9197 perilous fear
## 9198 9198 perilous negative
## 9199 9199 perilous sadness
## 9200 9200 periodicity trust
## 9201 9201 perish fear
## 9202 9202 perish negative
## 9203 9203 perish sadness
## 9204 9204 perishable negative
## 9205 9205 perished negative
## 9206 9206 perished sadness
## 9207 9207 perishing fear
## 9208 9208 perishing negative
## 9209 9209 perishing sadness
## 9210 9210 perjury fear
## 9211 9211 perjury negative
## 9212 9212 perjury surprise
## 9213 9213 perk positive
## 9214 9214 permission positive
## 9215 9215 pernicious anger
## 9216 9216 pernicious fear
## 9217 9217 pernicious negative
## 9218 9218 pernicious sadness
## 9219 9219 perpetrator anger
## 9220 9220 perpetrator disgust
## 9221 9221 perpetrator fear
## 9222 9222 perpetrator negative
## 9223 9223 perpetrator sadness
## 9224 9224 perpetuate anticipation
## 9225 9225 perpetuation negative
## 9226 9226 perpetuity anticipation
## 9227 9227 perpetuity positive
## 9228 9228 perpetuity trust
## 9229 9229 perplexed negative
## 9230 9230 perplexity negative
## 9231 9231 perplexity sadness
## 9232 9232 persecute anger
## 9233 9233 persecute fear
## 9234 9234 persecute negative
## 9235 9235 persecution anger
## 9236 9236 persecution disgust
## 9237 9237 persecution fear
## 9238 9238 persecution negative
## 9239 9239 persecution sadness
## 9240 9240 persistence positive
## 9241 9241 persistent positive
## 9242 9242 personable positive
## 9243 9243 personal trust
## 9244 9244 perspiration disgust
## 9245 9245 persuade trust
## 9246 9246 pertinent positive
## 9247 9247 pertinent trust
## 9248 9248 perturbation fear
## 9249 9249 perturbation negative
## 9250 9250 pertussis negative
## 9251 9251 perverse anger
## 9252 9252 perverse disgust
## 9253 9253 perverse fear
## 9254 9254 perverse negative
## 9255 9255 perversion anger
## 9256 9256 perversion disgust
## 9257 9257 perversion negative
## 9258 9258 perversion sadness
## 9259 9259 pervert anger
## 9260 9260 pervert disgust
## 9261 9261 pervert negative
## 9262 9262 perverted disgust
## 9263 9263 perverted negative
## 9264 9264 pessimism anger
## 9265 9265 pessimism fear
## 9266 9266 pessimism negative
## 9267 9267 pessimism sadness
## 9268 9268 pessimist fear
## 9269 9269 pessimist negative
## 9270 9270 pessimist sadness
## 9271 9271 pest anger
## 9272 9272 pest disgust
## 9273 9273 pest fear
## 9274 9274 pest negative
## 9275 9275 pestilence disgust
## 9276 9276 pestilence fear
## 9277 9277 pestilence negative
## 9278 9278 pet negative
## 9279 9279 petroleum disgust
## 9280 9280 petroleum negative
## 9281 9281 petroleum positive
## 9282 9282 petty negative
## 9283 9283 phalanx fear
## 9284 9284 phalanx trust
## 9285 9285 phantom fear
## 9286 9286 phantom negative
## 9287 9287 pharmaceutical positive
## 9288 9288 philanthropic trust
## 9289 9289 philanthropist positive
## 9290 9290 philanthropist trust
## 9291 9291 philanthropy positive
## 9292 9292 philosopher positive
## 9293 9293 philosopher trust
## 9294 9294 phlegm disgust
## 9295 9295 phlegm negative
## 9296 9296 phoenix positive
## 9297 9297 phonetic positive
## 9298 9298 phony anger
## 9299 9299 phony disgust
## 9300 9300 phony negative
## 9301 9301 physician positive
## 9302 9302 physician trust
## 9303 9303 physicist trust
## 9304 9304 physics positive
## 9305 9305 physiology positive
## 9306 9306 physique positive
## 9307 9307 pick positive
## 9308 9308 picket anger
## 9309 9309 picket anticipation
## 9310 9310 picket fear
## 9311 9311 picket negative
## 9312 9312 picketing anger
## 9313 9313 picketing negative
## 9314 9314 pickle negative
## 9315 9315 picnic anticipation
## 9316 9316 picnic joy
## 9317 9317 picnic positive
## 9318 9318 picnic surprise
## 9319 9319 picnic trust
## 9320 9320 picturesque joy
## 9321 9321 picturesque positive
## 9322 9322 piety positive
## 9323 9323 pig disgust
## 9324 9324 pig negative
## 9325 9325 pigeon negative
## 9326 9326 piles disgust
## 9327 9327 piles negative
## 9328 9328 pill positive
## 9329 9329 pill trust
## 9330 9330 pillage anger
## 9331 9331 pillage disgust
## 9332 9332 pillage fear
## 9333 9333 pillage negative
## 9334 9334 pillow positive
## 9335 9335 pilot positive
## 9336 9336 pilot trust
## 9337 9337 pimp negative
## 9338 9338 pimple disgust
## 9339 9339 pimple negative
## 9340 9340 pine negative
## 9341 9341 pine sadness
## 9342 9342 pinion fear
## 9343 9343 pinion negative
## 9344 9344 pinnacle positive
## 9345 9345 pioneer positive
## 9346 9346 pious disgust
## 9347 9347 pious positive
## 9348 9348 pious sadness
## 9349 9349 pious trust
## 9350 9350 pique anger
## 9351 9351 pique negative
## 9352 9352 piracy negative
## 9353 9353 pirate anger
## 9354 9354 pirate negative
## 9355 9355 pistol negative
## 9356 9356 pitfall anger
## 9357 9357 pitfall disgust
## 9358 9358 pitfall fear
## 9359 9359 pitfall negative
## 9360 9360 pitfall sadness
## 9361 9361 pitfall surprise
## 9362 9362 pith positive
## 9363 9363 pith trust
## 9364 9364 pity sadness
## 9365 9365 pivot positive
## 9366 9366 pivot trust
## 9367 9367 placard surprise
## 9368 9368 placid positive
## 9369 9369 plagiarism disgust
## 9370 9370 plagiarism negative
## 9371 9371 plague disgust
## 9372 9372 plague fear
## 9373 9373 plague negative
## 9374 9374 plague sadness
## 9375 9375 plaintiff negative
## 9376 9376 plaintive sadness
## 9377 9377 plan anticipation
## 9378 9378 planning anticipation
## 9379 9379 planning positive
## 9380 9380 planning trust
## 9381 9381 plated negative
## 9382 9382 player negative
## 9383 9383 playful anger
## 9384 9384 playful joy
## 9385 9385 playful positive
## 9386 9386 playful surprise
## 9387 9387 playful trust
## 9388 9388 playground anticipation
## 9389 9389 playground joy
## 9390 9390 playground positive
## 9391 9391 playground surprise
## 9392 9392 playground trust
## 9393 9393 playhouse joy
## 9394 9394 playhouse positive
## 9395 9395 plea anticipation
## 9396 9396 plea fear
## 9397 9397 plea negative
## 9398 9398 plea sadness
## 9399 9399 pleasant anticipation
## 9400 9400 pleasant joy
## 9401 9401 pleasant positive
## 9402 9402 pleasant surprise
## 9403 9403 pleasant trust
## 9404 9404 pleased joy
## 9405 9405 pleased positive
## 9406 9406 pleasurable joy
## 9407 9407 pleasurable positive
## 9408 9408 pledge joy
## 9409 9409 pledge positive
## 9410 9410 pledge trust
## 9411 9411 plenary positive
## 9412 9412 plentiful positive
## 9413 9413 plexus positive
## 9414 9414 plight anticipation
## 9415 9415 plight disgust
## 9416 9416 plight fear
## 9417 9417 plight negative
## 9418 9418 plight sadness
## 9419 9419 plodding negative
## 9420 9420 plum positive
## 9421 9421 plumb positive
## 9422 9422 plummet fear
## 9423 9423 plummet negative
## 9424 9424 plump anticipation
## 9425 9425 plunder anger
## 9426 9426 plunder disgust
## 9427 9427 plunder fear
## 9428 9428 plunder negative
## 9429 9429 plunder sadness
## 9430 9430 plunder surprise
## 9431 9431 plunge fear
## 9432 9432 plunge negative
## 9433 9433 plush positive
## 9434 9434 ply positive
## 9435 9435 pneumonia fear
## 9436 9436 pneumonia negative
## 9437 9437 poaching anger
## 9438 9438 poaching disgust
## 9439 9439 poaching fear
## 9440 9440 poaching negative
## 9441 9441 poaching sadness
## 9442 9442 pointedly positive
## 9443 9443 pointless negative
## 9444 9444 pointless sadness
## 9445 9445 poison anger
## 9446 9446 poison disgust
## 9447 9447 poison fear
## 9448 9448 poison negative
## 9449 9449 poison sadness
## 9450 9450 poisoned anger
## 9451 9451 poisoned disgust
## 9452 9452 poisoned fear
## 9453 9453 poisoned negative
## 9454 9454 poisoned sadness
## 9455 9455 poisoning disgust
## 9456 9456 poisoning negative
## 9457 9457 poisonous anger
## 9458 9458 poisonous disgust
## 9459 9459 poisonous fear
## 9460 9460 poisonous negative
## 9461 9461 poisonous sadness
## 9462 9462 poke anticipation
## 9463 9463 poke negative
## 9464 9464 polarity surprise
## 9465 9465 polemic anger
## 9466 9466 polemic disgust
## 9467 9467 polemic negative
## 9468 9468 police fear
## 9469 9469 police positive
## 9470 9470 police trust
## 9471 9471 policeman fear
## 9472 9472 policeman positive
## 9473 9473 policeman trust
## 9474 9474 policy trust
## 9475 9475 polio fear
## 9476 9476 polio negative
## 9477 9477 polio sadness
## 9478 9478 polish positive
## 9479 9479 polished positive
## 9480 9480 polite positive
## 9481 9481 politeness positive
## 9482 9482 politic disgust
## 9483 9483 politic positive
## 9484 9484 politics anger
## 9485 9485 poll trust
## 9486 9486 pollute disgust
## 9487 9487 pollute negative
## 9488 9488 pollution disgust
## 9489 9489 pollution negative
## 9490 9490 polygamy disgust
## 9491 9491 polygamy negative
## 9492 9492 pomp negative
## 9493 9493 pompous disgust
## 9494 9494 pompous negative
## 9495 9495 ponderous negative
## 9496 9496 pontiff trust
## 9497 9497 pool positive
## 9498 9498 poorly negative
## 9499 9499 pop negative
## 9500 9500 pop surprise
## 9501 9501 pope positive
## 9502 9502 popularity positive
## 9503 9503 popularized positive
## 9504 9504 population positive
## 9505 9505 porcupine negative
## 9506 9506 porn disgust
## 9507 9507 porn negative
## 9508 9508 porno negative
## 9509 9509 pornographic negative
## 9510 9510 pornography disgust
## 9511 9511 pornography negative
## 9512 9512 portable positive
## 9513 9513 pose negative
## 9514 9514 posse fear
## 9515 9515 possess anticipation
## 9516 9516 possess joy
## 9517 9517 possess positive
## 9518 9518 possess trust
## 9519 9519 possessed anger
## 9520 9520 possessed disgust
## 9521 9521 possessed fear
## 9522 9522 possessed negative
## 9523 9523 possession anger
## 9524 9524 possession disgust
## 9525 9525 possession fear
## 9526 9526 possession negative
## 9527 9527 possibility anticipation
## 9528 9528 posthumous negative
## 9529 9529 posthumous sadness
## 9530 9530 postponement negative
## 9531 9531 postponement surprise
## 9532 9532 potable positive
## 9533 9533 potency positive
## 9534 9534 pound anger
## 9535 9535 pound negative
## 9536 9536 poverty anger
## 9537 9537 poverty disgust
## 9538 9538 poverty fear
## 9539 9539 poverty negative
## 9540 9540 poverty sadness
## 9541 9541 pow anger
## 9542 9542 powerful anger
## 9543 9543 powerful anticipation
## 9544 9544 powerful disgust
## 9545 9545 powerful fear
## 9546 9546 powerful joy
## 9547 9547 powerful positive
## 9548 9548 powerful trust
## 9549 9549 powerfully fear
## 9550 9550 powerfully positive
## 9551 9551 powerless anger
## 9552 9552 powerless disgust
## 9553 9553 powerless fear
## 9554 9554 powerless negative
## 9555 9555 powerless sadness
## 9556 9556 practice positive
## 9557 9557 practiced joy
## 9558 9558 practiced positive
## 9559 9559 practiced surprise
## 9560 9560 practiced trust
## 9561 9561 practise anticipation
## 9562 9562 practise positive
## 9563 9563 praise joy
## 9564 9564 praise positive
## 9565 9565 praise trust
## 9566 9566 praised joy
## 9567 9567 praised positive
## 9568 9568 praiseworthy anticipation
## 9569 9569 praiseworthy joy
## 9570 9570 praiseworthy positive
## 9571 9571 praiseworthy surprise
## 9572 9572 praiseworthy trust
## 9573 9573 prank negative
## 9574 9574 prank surprise
## 9575 9575 pray anticipation
## 9576 9576 pray fear
## 9577 9577 pray joy
## 9578 9578 pray positive
## 9579 9579 pray surprise
## 9580 9580 pray trust
## 9581 9581 precarious anticipation
## 9582 9582 precarious fear
## 9583 9583 precarious negative
## 9584 9584 precarious sadness
## 9585 9585 precaution positive
## 9586 9586 precede positive
## 9587 9587 precedence positive
## 9588 9588 precedence trust
## 9589 9589 precinct negative
## 9590 9590 precious anticipation
## 9591 9591 precious joy
## 9592 9592 precious positive
## 9593 9593 precious surprise
## 9594 9594 precipice fear
## 9595 9595 precise positive
## 9596 9596 precision positive
## 9597 9597 preclude anger
## 9598 9598 precursor anticipation
## 9599 9599 predatory negative
## 9600 9600 predicament fear
## 9601 9601 predicament negative
## 9602 9602 predict anticipation
## 9603 9603 prediction anticipation
## 9604 9604 predilection anticipation
## 9605 9605 predilection positive
## 9606 9606 predispose anticipation
## 9607 9607 predominant positive
## 9608 9608 predominant trust
## 9609 9609 preeminent positive
## 9610 9610 prefer positive
## 9611 9611 prefer trust
## 9612 9612 pregnancy disgust
## 9613 9613 pregnancy negative
## 9614 9614 prejudice anger
## 9615 9615 prejudice negative
## 9616 9616 prejudiced disgust
## 9617 9617 prejudiced fear
## 9618 9618 prejudiced negative
## 9619 9619 prejudicial anger
## 9620 9620 prejudicial negative
## 9621 9621 preliminary anticipation
## 9622 9622 premature surprise
## 9623 9623 premeditated fear
## 9624 9624 premeditated negative
## 9625 9625 premier positive
## 9626 9626 premises positive
## 9627 9627 preparation anticipation
## 9628 9628 preparatory anticipation
## 9629 9629 prepare anticipation
## 9630 9630 prepare positive
## 9631 9631 prepared anticipation
## 9632 9632 prepared positive
## 9633 9633 prepared trust
## 9634 9634 preparedness anticipation
## 9635 9635 preponderance trust
## 9636 9636 prerequisite anticipation
## 9637 9637 prescient anticipation
## 9638 9638 prescient positive
## 9639 9639 presence positive
## 9640 9640 present anticipation
## 9641 9641 present joy
## 9642 9642 present positive
## 9643 9643 present surprise
## 9644 9644 present trust
## 9645 9645 presentable positive
## 9646 9646 presentment negative
## 9647 9647 presentment positive
## 9648 9648 preservative anticipation
## 9649 9649 preservative joy
## 9650 9650 preservative positive
## 9651 9651 preservative surprise
## 9652 9652 preservative trust
## 9653 9653 preserve positive
## 9654 9654 president positive
## 9655 9655 president trust
## 9656 9656 pressure negative
## 9657 9657 prestige joy
## 9658 9658 prestige positive
## 9659 9659 prestige trust
## 9660 9660 presto joy
## 9661 9661 presto positive
## 9662 9662 presto surprise
## 9663 9663 presumption trust
## 9664 9664 presumptuous anger
## 9665 9665 presumptuous disgust
## 9666 9666 presumptuous negative
## 9667 9667 pretend negative
## 9668 9668 pretended negative
## 9669 9669 pretending anger
## 9670 9670 pretending negative
## 9671 9671 pretense negative
## 9672 9672 pretensions negative
## 9673 9673 pretty anticipation
## 9674 9674 pretty joy
## 9675 9675 pretty positive
## 9676 9676 pretty trust
## 9677 9677 prevail anticipation
## 9678 9678 prevail joy
## 9679 9679 prevail positive
## 9680 9680 prevalent trust
## 9681 9681 prevent fear
## 9682 9682 prevention anticipation
## 9683 9683 prevention positive
## 9684 9684 preventive negative
## 9685 9685 prey fear
## 9686 9686 prey negative
## 9687 9687 priceless positive
## 9688 9688 prick anger
## 9689 9689 prick disgust
## 9690 9690 prick fear
## 9691 9691 prick negative
## 9692 9692 prick surprise
## 9693 9693 prickly negative
## 9694 9694 pride joy
## 9695 9695 pride positive
## 9696 9696 priest positive
## 9697 9697 priest trust
## 9698 9698 priesthood anticipation
## 9699 9699 priesthood joy
## 9700 9700 priesthood positive
## 9701 9701 priesthood sadness
## 9702 9702 priesthood trust
## 9703 9703 priestly positive
## 9704 9704 primacy positive
## 9705 9705 primary positive
## 9706 9706 prime positive
## 9707 9707 primer positive
## 9708 9708 primer trust
## 9709 9709 prince positive
## 9710 9710 princely anticipation
## 9711 9711 princely joy
## 9712 9712 princely positive
## 9713 9713 princely surprise
## 9714 9714 princely trust
## 9715 9715 princess positive
## 9716 9716 principal positive
## 9717 9717 principal trust
## 9718 9718 prison anger
## 9719 9719 prison fear
## 9720 9720 prison negative
## 9721 9721 prison sadness
## 9722 9722 prisoner anger
## 9723 9723 prisoner disgust
## 9724 9724 prisoner fear
## 9725 9725 prisoner negative
## 9726 9726 prisoner sadness
## 9727 9727 pristine positive
## 9728 9728 privileged joy
## 9729 9729 privileged positive
## 9730 9730 privileged trust
## 9731 9731 privy negative
## 9732 9732 privy trust
## 9733 9733 probability anticipation
## 9734 9734 probation anticipation
## 9735 9735 probation fear
## 9736 9736 probation sadness
## 9737 9737 probity positive
## 9738 9738 probity trust
## 9739 9739 problem fear
## 9740 9740 problem negative
## 9741 9741 problem sadness
## 9742 9742 procedure fear
## 9743 9743 procedure positive
## 9744 9744 proceeding anticipation
## 9745 9745 procession joy
## 9746 9746 procession positive
## 9747 9747 procession sadness
## 9748 9748 procession surprise
## 9749 9749 procrastinate negative
## 9750 9750 procrastination negative
## 9751 9751 proctor positive
## 9752 9752 proctor trust
## 9753 9753 procure positive
## 9754 9754 prodigal negative
## 9755 9755 prodigal positive
## 9756 9756 prodigious positive
## 9757 9757 prodigy positive
## 9758 9758 producer positive
## 9759 9759 producing positive
## 9760 9760 production anticipation
## 9761 9761 production positive
## 9762 9762 productive positive
## 9763 9763 productivity positive
## 9764 9764 profane anger
## 9765 9765 profane negative
## 9766 9766 profanity anger
## 9767 9767 profanity negative
## 9768 9768 profession positive
## 9769 9769 professional positive
## 9770 9770 professional trust
## 9771 9771 professor positive
## 9772 9772 professor trust
## 9773 9773 professorship trust
## 9774 9774 proficiency anticipation
## 9775 9775 proficiency joy
## 9776 9776 proficiency positive
## 9777 9777 proficiency surprise
## 9778 9778 proficiency trust
## 9779 9779 proficient positive
## 9780 9780 proficient trust
## 9781 9781 profuse positive
## 9782 9782 profusion negative
## 9783 9783 prognosis anticipation
## 9784 9784 prognosis fear
## 9785 9785 prognostic anticipation
## 9786 9786 progress anticipation
## 9787 9787 progress joy
## 9788 9788 progress positive
## 9789 9789 progression anticipation
## 9790 9790 progression joy
## 9791 9791 progression positive
## 9792 9792 progression sadness
## 9793 9793 progression trust
## 9794 9794 progressive positive
## 9795 9795 prohibited anger
## 9796 9796 prohibited disgust
## 9797 9797 prohibited fear
## 9798 9798 prohibited negative
## 9799 9799 prohibition negative
## 9800 9800 projectile fear
## 9801 9801 projectiles fear
## 9802 9802 prolific positive
## 9803 9803 prologue anticipation
## 9804 9804 prolong disgust
## 9805 9805 prolong negative
## 9806 9806 prominence positive
## 9807 9807 prominently positive
## 9808 9808 promiscuous negative
## 9809 9809 promise joy
## 9810 9810 promise positive
## 9811 9811 promise trust
## 9812 9812 promising positive
## 9813 9813 promotion positive
## 9814 9814 proof trust
## 9815 9815 prop positive
## 9816 9816 propaganda negative
## 9817 9817 proper positive
## 9818 9818 prophecy anticipation
## 9819 9819 prophet anticipation
## 9820 9820 prophet positive
## 9821 9821 prophet trust
## 9822 9822 prophetic anticipation
## 9823 9823 prophylactic anticipation
## 9824 9824 prophylactic positive
## 9825 9825 prophylactic trust
## 9826 9826 proposition positive
## 9827 9827 prosecute anger
## 9828 9828 prosecute fear
## 9829 9829 prosecute negative
## 9830 9830 prosecute sadness
## 9831 9831 prosecution disgust
## 9832 9832 prosecution negative
## 9833 9833 prospect positive
## 9834 9834 prospectively anticipation
## 9835 9835 prosper anticipation
## 9836 9836 prosper joy
## 9837 9837 prosper positive
## 9838 9838 prosperity positive
## 9839 9839 prosperous joy
## 9840 9840 prosperous positive
## 9841 9841 prostitute disgust
## 9842 9842 prostitute negative
## 9843 9843 prostitution disgust
## 9844 9844 prostitution negative
## 9845 9845 prostitution sadness
## 9846 9846 protect positive
## 9847 9847 protected trust
## 9848 9848 protecting positive
## 9849 9849 protecting trust
## 9850 9850 protective positive
## 9851 9851 protector positive
## 9852 9852 protector trust
## 9853 9853 proud anticipation
## 9854 9854 proud joy
## 9855 9855 proud positive
## 9856 9856 proud trust
## 9857 9857 prove positive
## 9858 9858 proven trust
## 9859 9859 proverbial positive
## 9860 9860 provide positive
## 9861 9861 provide trust
## 9862 9862 providing anticipation
## 9863 9863 providing joy
## 9864 9864 providing positive
## 9865 9865 providing trust
## 9866 9866 proviso trust
## 9867 9867 provocation anger
## 9868 9868 provocation negative
## 9869 9869 provoking anger
## 9870 9870 provoking disgust
## 9871 9871 provoking negative
## 9872 9872 prowl fear
## 9873 9873 prowl surprise
## 9874 9874 proxy trust
## 9875 9875 prudence positive
## 9876 9876 prudent positive
## 9877 9877 prudent trust
## 9878 9878 pry anger
## 9879 9879 pry anticipation
## 9880 9880 pry negative
## 9881 9881 pry trust
## 9882 9882 prying negative
## 9883 9883 psalm positive
## 9884 9884 psychosis anger
## 9885 9885 psychosis fear
## 9886 9886 psychosis negative
## 9887 9887 psychosis sadness
## 9888 9888 public anticipation
## 9889 9889 public positive
## 9890 9890 publicist negative
## 9891 9891 puffy negative
## 9892 9892 puke disgust
## 9893 9893 pull positive
## 9894 9894 pulpit positive
## 9895 9895 puma fear
## 9896 9896 puma surprise
## 9897 9897 punch anger
## 9898 9898 punch fear
## 9899 9899 punch negative
## 9900 9900 punch sadness
## 9901 9901 punch surprise
## 9902 9902 punctual anticipation
## 9903 9903 punctual positive
## 9904 9904 punctual trust
## 9905 9905 punctuality positive
## 9906 9906 pungent disgust
## 9907 9907 pungent negative
## 9908 9908 punish fear
## 9909 9909 punish negative
## 9910 9910 punished anger
## 9911 9911 punished anticipation
## 9912 9912 punished disgust
## 9913 9913 punished fear
## 9914 9914 punished negative
## 9915 9915 punished sadness
## 9916 9916 punishing anger
## 9917 9917 punishing fear
## 9918 9918 punishing negative
## 9919 9919 punishing sadness
## 9920 9920 punishment anger
## 9921 9921 punishment disgust
## 9922 9922 punishment fear
## 9923 9923 punishment negative
## 9924 9924 punitive anger
## 9925 9925 punitive fear
## 9926 9926 punitive negative
## 9927 9927 punitive sadness
## 9928 9928 punt anticipation
## 9929 9929 puppy anticipation
## 9930 9930 puppy positive
## 9931 9931 puppy trust
## 9932 9932 purely positive
## 9933 9933 purely trust
## 9934 9934 purgatory disgust
## 9935 9935 purgatory fear
## 9936 9936 purgatory negative
## 9937 9937 purge fear
## 9938 9938 purge negative
## 9939 9939 purification positive
## 9940 9940 purification trust
## 9941 9941 purify joy
## 9942 9942 purify positive
## 9943 9943 purify trust
## 9944 9944 purist positive
## 9945 9945 purity positive
## 9946 9946 purity surprise
## 9947 9947 purr joy
## 9948 9948 purr positive
## 9949 9949 purr trust
## 9950 9950 pus disgust
## 9951 9951 pus negative
## 9952 9952 putative trust
## 9953 9953 quack disgust
## 9954 9954 quack negative
## 9955 9955 quagmire disgust
## 9956 9956 quagmire negative
## 9957 9957 quail fear
## 9958 9958 quail negative
## 9959 9959 quaint joy
## 9960 9960 quaint positive
## 9961 9961 quaint trust
## 9962 9962 quake fear
## 9963 9963 qualified positive
## 9964 9964 qualified trust
## 9965 9965 qualifying positive
## 9966 9966 quandary anger
## 9967 9967 quandary fear
## 9968 9968 quandary negative
## 9969 9969 quarantine fear
## 9970 9970 quarrel anger
## 9971 9971 quarrel negative
## 9972 9972 quash fear
## 9973 9973 quash negative
## 9974 9974 quell negative
## 9975 9975 quest anticipation
## 9976 9976 quest positive
## 9977 9977 question positive
## 9978 9978 questionable disgust
## 9979 9979 questionable negative
## 9980 9980 quicken anticipation
## 9981 9981 quickness positive
## 9982 9982 quickness surprise
## 9983 9983 quicksilver negative
## 9984 9984 quicksilver surprise
## 9985 9985 quiescent positive
## 9986 9986 quiet positive
## 9987 9987 quiet sadness
## 9988 9988 quinine positive
## 9989 9989 quit negative
## 9990 9990 quiver fear
## 9991 9991 quiver negative
## 9992 9992 quivering fear
## 9993 9993 quivering negative
## 9994 9994 quiz negative
## 9995 9995 quote anticipation
## 9996 9996 quote negative
## 9997 9997 quote positive
## 9998 9998 quote surprise
## 9999 9999 rabble anger
## 10000 10000 rabble fear
## 10001 10001 rabble negative
## 10002 10002 rabid anger
## 10003 10003 rabid anticipation
## 10004 10004 rabid disgust
## 10005 10005 rabid fear
## 10006 10006 rabid negative
## 10007 10007 rabid sadness
## 10008 10008 rabies negative
## 10009 10009 rack negative
## 10010 10010 rack sadness
## 10011 10011 racket negative
## 10012 10012 radar trust
## 10013 10013 radiance anticipation
## 10014 10014 radiance joy
## 10015 10015 radiance positive
## 10016 10016 radiance trust
## 10017 10017 radiant joy
## 10018 10018 radiant positive
## 10019 10019 radiate positive
## 10020 10020 radiation fear
## 10021 10021 radiation negative
## 10022 10022 radio positive
## 10023 10023 radioactive fear
## 10024 10024 radioactive negative
## 10025 10025 radon fear
## 10026 10026 radon negative
## 10027 10027 raffle anticipation
## 10028 10028 raffle surprise
## 10029 10029 rage anger
## 10030 10030 rage negative
## 10031 10031 raging anger
## 10032 10032 raging disgust
## 10033 10033 raging fear
## 10034 10034 raging negative
## 10035 10035 rags disgust
## 10036 10036 rags negative
## 10037 10037 raid anger
## 10038 10038 raid fear
## 10039 10039 raid negative
## 10040 10040 raid surprise
## 10041 10041 rail anger
## 10042 10042 rail anticipation
## 10043 10043 rail negative
## 10044 10044 rainy sadness
## 10045 10045 ram anger
## 10046 10046 ram anticipation
## 10047 10047 ram negative
## 10048 10048 rambling negative
## 10049 10049 rampage anger
## 10050 10050 rampage fear
## 10051 10051 rampage negative
## 10052 10052 rancid disgust
## 10053 10053 rancid negative
## 10054 10054 randomly surprise
## 10055 10055 ranger trust
## 10056 10056 ransom anger
## 10057 10057 ransom fear
## 10058 10058 ransom negative
## 10059 10059 rape anger
## 10060 10060 rape disgust
## 10061 10061 rape fear
## 10062 10062 rape negative
## 10063 10063 rape sadness
## 10064 10064 rapid surprise
## 10065 10065 rapping anger
## 10066 10066 rapt joy
## 10067 10067 rapt positive
## 10068 10068 rapt surprise
## 10069 10069 rapt trust
## 10070 10070 raptors fear
## 10071 10071 raptors negative
## 10072 10072 rapture anticipation
## 10073 10073 rapture joy
## 10074 10074 rapture positive
## 10075 10075 rarity surprise
## 10076 10076 rascal anger
## 10077 10077 rascal disgust
## 10078 10078 rascal fear
## 10079 10079 rascal negative
## 10080 10080 rash disgust
## 10081 10081 rash negative
## 10082 10082 rat disgust
## 10083 10083 rat fear
## 10084 10084 rat negative
## 10085 10085 ratify trust
## 10086 10086 rating anger
## 10087 10087 rating fear
## 10088 10088 rating negative
## 10089 10089 rating sadness
## 10090 10090 rational positive
## 10091 10091 rational trust
## 10092 10092 rattlesnake fear
## 10093 10093 raucous negative
## 10094 10094 rave anger
## 10095 10095 rave disgust
## 10096 10096 rave joy
## 10097 10097 rave negative
## 10098 10098 rave positive
## 10099 10099 rave surprise
## 10100 10100 rave trust
## 10101 10101 ravenous anger
## 10102 10102 ravenous fear
## 10103 10103 ravenous negative
## 10104 10104 ravenous sadness
## 10105 10105 ravine fear
## 10106 10106 raving anger
## 10107 10107 raving anticipation
## 10108 10108 raving fear
## 10109 10109 raving joy
## 10110 10110 raving negative
## 10111 10111 raving surprise
## 10112 10112 razor fear
## 10113 10113 react anger
## 10114 10114 react fear
## 10115 10115 reactionary negative
## 10116 10116 reader positive
## 10117 10117 readily positive
## 10118 10118 readiness anticipation
## 10119 10119 readiness joy
## 10120 10120 readiness positive
## 10121 10121 readiness trust
## 10122 10122 reading positive
## 10123 10123 ready anticipation
## 10124 10124 reaffirm positive
## 10125 10125 real positive
## 10126 10126 real trust
## 10127 10127 reappear surprise
## 10128 10128 rear negative
## 10129 10129 reason positive
## 10130 10130 reassurance positive
## 10131 10131 reassurance trust
## 10132 10132 reassure positive
## 10133 10133 reassure trust
## 10134 10134 rebate positive
## 10135 10135 rebel anger
## 10136 10136 rebel fear
## 10137 10137 rebel negative
## 10138 10138 rebellion anger
## 10139 10139 rebellion disgust
## 10140 10140 rebellion fear
## 10141 10141 rebuke negative
## 10142 10142 rebut negative
## 10143 10143 recalcitrant anger
## 10144 10144 recalcitrant disgust
## 10145 10145 recalcitrant negative
## 10146 10146 recast positive
## 10147 10147 received positive
## 10148 10148 receiving anticipation
## 10149 10149 receiving joy
## 10150 10150 receiving positive
## 10151 10151 receiving surprise
## 10152 10152 recesses fear
## 10153 10153 recession anger
## 10154 10154 recession disgust
## 10155 10155 recession fear
## 10156 10156 recession negative
## 10157 10157 recession sadness
## 10158 10158 recherche positive
## 10159 10159 recidivism anger
## 10160 10160 recidivism disgust
## 10161 10161 recidivism negative
## 10162 10162 recidivism sadness
## 10163 10163 recipient anticipation
## 10164 10164 reciprocate positive
## 10165 10165 reckless anger
## 10166 10166 reckless fear
## 10167 10167 reckless negative
## 10168 10168 recklessness anger
## 10169 10169 recklessness disgust
## 10170 10170 recklessness fear
## 10171 10171 recklessness negative
## 10172 10172 recklessness surprise
## 10173 10173 reclamation positive
## 10174 10174 recline positive
## 10175 10175 recline trust
## 10176 10176 recognizable anticipation
## 10177 10177 recognizable positive
## 10178 10178 recombination anticipation
## 10179 10179 recommend positive
## 10180 10180 recommend trust
## 10181 10181 reconciliation anticipation
## 10182 10182 reconciliation joy
## 10183 10183 reconciliation positive
## 10184 10184 reconciliation trust
## 10185 10185 reconsideration positive
## 10186 10186 reconsideration trust
## 10187 10187 reconstruct anticipation
## 10188 10188 reconstruct positive
## 10189 10189 reconstruction anticipation
## 10190 10190 reconstruction positive
## 10191 10191 recorder positive
## 10192 10192 recoup positive
## 10193 10193 recovery positive
## 10194 10194 recreation anticipation
## 10195 10195 recreation joy
## 10196 10196 recreation positive
## 10197 10197 recreational anticipation
## 10198 10198 recreational joy
## 10199 10199 recreational positive
## 10200 10200 recruits trust
## 10201 10201 rectify positive
## 10202 10202 recurrent anticipation
## 10203 10203 redemption positive
## 10204 10204 redress positive
## 10205 10205 redundant negative
## 10206 10206 referee trust
## 10207 10207 refine positive
## 10208 10208 refinement positive
## 10209 10209 reflex surprise
## 10210 10210 reflux disgust
## 10211 10211 reflux negative
## 10212 10212 reform positive
## 10213 10213 reformation positive
## 10214 10214 reformer positive
## 10215 10215 refractory negative
## 10216 10216 refreshing positive
## 10217 10217 refugee sadness
## 10218 10218 refurbish positive
## 10219 10219 refusal negative
## 10220 10220 refuse negative
## 10221 10221 refused negative
## 10222 10222 refused sadness
## 10223 10223 refutation fear
## 10224 10224 regal positive
## 10225 10225 regal trust
## 10226 10226 regatta anticipation
## 10227 10227 regent positive
## 10228 10228 regent trust
## 10229 10229 regiment fear
## 10230 10230 registry trust
## 10231 10231 regress negative
## 10232 10232 regression negative
## 10233 10233 regressive negative
## 10234 10234 regressive positive
## 10235 10235 regret negative
## 10236 10236 regret sadness
## 10237 10237 regrettable negative
## 10238 10238 regrettable sadness
## 10239 10239 regretted negative
## 10240 10240 regretted sadness
## 10241 10241 regretting negative
## 10242 10242 regretting sadness
## 10243 10243 regularity anticipation
## 10244 10244 regularity positive
## 10245 10245 regularity trust
## 10246 10246 regulate positive
## 10247 10247 regulatory fear
## 10248 10248 regulatory negative
## 10249 10249 regurgitation disgust
## 10250 10250 rehabilitate positive
## 10251 10251 rehabilitation anticipation
## 10252 10252 rehabilitation positive
## 10253 10253 reimburse positive
## 10254 10254 reimbursement positive
## 10255 10255 reimbursement trust
## 10256 10256 rein negative
## 10257 10257 reinforcement positive
## 10258 10258 reinforcement trust
## 10259 10259 reinforcements trust
## 10260 10260 reinstate positive
## 10261 10261 reject anger
## 10262 10262 reject fear
## 10263 10263 reject negative
## 10264 10264 reject sadness
## 10265 10265 rejected negative
## 10266 10266 rejection anger
## 10267 10267 rejection disgust
## 10268 10268 rejection fear
## 10269 10269 rejection negative
## 10270 10270 rejection sadness
## 10271 10271 rejects anger
## 10272 10272 rejects fear
## 10273 10273 rejects negative
## 10274 10274 rejects sadness
## 10275 10275 rejoice anticipation
## 10276 10276 rejoice joy
## 10277 10277 rejoice positive
## 10278 10278 rejoice surprise
## 10279 10279 rejoice trust
## 10280 10280 rejoicing anticipation
## 10281 10281 rejoicing joy
## 10282 10282 rejoicing positive
## 10283 10283 rejoicing surprise
## 10284 10284 rejuvenate positive
## 10285 10285 rejuvenated positive
## 10286 10286 rekindle anticipation
## 10287 10287 rekindle fear
## 10288 10288 rekindle joy
## 10289 10289 rekindle negative
## 10290 10290 rekindle positive
## 10291 10291 rekindle surprise
## 10292 10292 relapse fear
## 10293 10293 relapse negative
## 10294 10294 relapse sadness
## 10295 10295 related trust
## 10296 10296 relative trust
## 10297 10297 relaxation positive
## 10298 10298 relegation negative
## 10299 10299 relevant positive
## 10300 10300 relevant trust
## 10301 10301 reliability positive
## 10302 10302 reliability trust
## 10303 10303 reliable positive
## 10304 10304 reliable trust
## 10305 10305 reliance positive
## 10306 10306 reliance trust
## 10307 10307 relics sadness
## 10308 10308 relief positive
## 10309 10309 relieving positive
## 10310 10310 religion trust
## 10311 10311 relinquish negative
## 10312 10312 reluctant fear
## 10313 10313 reluctant negative
## 10314 10314 remains disgust
## 10315 10315 remains fear
## 10316 10316 remains negative
## 10317 10317 remains positive
## 10318 10318 remains trust
## 10319 10319 remake positive
## 10320 10320 remand anger
## 10321 10321 remand negative
## 10322 10322 remarkable joy
## 10323 10323 remarkable positive
## 10324 10324 remarkable surprise
## 10325 10325 remarkable trust
## 10326 10326 remarkably positive
## 10327 10327 remedial negative
## 10328 10328 remedy anticipation
## 10329 10329 remedy joy
## 10330 10330 remedy positive
## 10331 10331 remedy trust
## 10332 10332 remiss anger
## 10333 10333 remiss disgust
## 10334 10334 remiss negative
## 10335 10335 remiss sadness
## 10336 10336 remission positive
## 10337 10337 remodel positive
## 10338 10338 remorse negative
## 10339 10339 remorse sadness
## 10340 10340 removal negative
## 10341 10341 remove anger
## 10342 10342 remove fear
## 10343 10343 remove negative
## 10344 10344 remove sadness
## 10345 10345 renaissance positive
## 10346 10346 rencontre negative
## 10347 10347 rend negative
## 10348 10348 render positive
## 10349 10349 renegade anger
## 10350 10350 renegade negative
## 10351 10351 renewal positive
## 10352 10352 renounce anger
## 10353 10353 renounce negative
## 10354 10354 renovate anticipation
## 10355 10355 renovate positive
## 10356 10356 renovation anticipation
## 10357 10357 renovation joy
## 10358 10358 renovation positive
## 10359 10359 renown positive
## 10360 10360 renowned positive
## 10361 10361 renunciation negative
## 10362 10362 reorganize positive
## 10363 10363 reparation positive
## 10364 10364 reparation trust
## 10365 10365 repay anger
## 10366 10366 repay anticipation
## 10367 10367 repay joy
## 10368 10368 repay positive
## 10369 10369 repay trust
## 10370 10370 repellant disgust
## 10371 10371 repellant fear
## 10372 10372 repellant negative
## 10373 10373 repellent anger
## 10374 10374 repellent disgust
## 10375 10375 repellent fear
## 10376 10376 repellent negative
## 10377 10377 repelling disgust
## 10378 10378 repelling negative
## 10379 10379 repent fear
## 10380 10380 repent positive
## 10381 10381 replenish positive
## 10382 10382 replete positive
## 10383 10383 reporter positive
## 10384 10384 reporter trust
## 10385 10385 repose positive
## 10386 10386 represented positive
## 10387 10387 representing anticipation
## 10388 10388 repress negative
## 10389 10389 repress sadness
## 10390 10390 repression fear
## 10391 10391 repression negative
## 10392 10392 reprimand anger
## 10393 10393 reprimand negative
## 10394 10394 reprint negative
## 10395 10395 reprisal anger
## 10396 10396 reprisal fear
## 10397 10397 reprisal negative
## 10398 10398 reprisal sadness
## 10399 10399 reproach anger
## 10400 10400 reproach disgust
## 10401 10401 reproach negative
## 10402 10402 reproach sadness
## 10403 10403 reproductive joy
## 10404 10404 reproductive positive
## 10405 10405 republic negative
## 10406 10406 repudiation anger
## 10407 10407 repudiation disgust
## 10408 10408 repudiation negative
## 10409 10409 repulsion disgust
## 10410 10410 repulsion fear
## 10411 10411 repulsion negative
## 10412 10412 reputable positive
## 10413 10413 reputable trust
## 10414 10414 requiem sadness
## 10415 10415 rescind negative
## 10416 10416 rescission negative
## 10417 10417 rescue anticipation
## 10418 10418 rescue joy
## 10419 10419 rescue positive
## 10420 10420 rescue surprise
## 10421 10421 rescue trust
## 10422 10422 resection fear
## 10423 10423 resent anger
## 10424 10424 resent negative
## 10425 10425 resentful anger
## 10426 10426 resentful negative
## 10427 10427 resentment anger
## 10428 10428 resentment disgust
## 10429 10429 resentment negative
## 10430 10430 resentment sadness
## 10431 10431 reserve positive
## 10432 10432 resident positive
## 10433 10433 resign anger
## 10434 10434 resign disgust
## 10435 10435 resign fear
## 10436 10436 resign negative
## 10437 10437 resign sadness
## 10438 10438 resignation negative
## 10439 10439 resignation sadness
## 10440 10440 resignation surprise
## 10441 10441 resigned negative
## 10442 10442 resigned sadness
## 10443 10443 resilient positive
## 10444 10444 resist negative
## 10445 10445 resistance anger
## 10446 10446 resistance negative
## 10447 10447 resistant fear
## 10448 10448 resistant negative
## 10449 10449 resisting anger
## 10450 10450 resisting fear
## 10451 10451 resisting negative
## 10452 10452 resisting sadness
## 10453 10453 resistive positive
## 10454 10454 resolutely positive
## 10455 10455 resources joy
## 10456 10456 resources positive
## 10457 10457 resources trust
## 10458 10458 respect anticipation
## 10459 10459 respect joy
## 10460 10460 respect positive
## 10461 10461 respect trust
## 10462 10462 respectability positive
## 10463 10463 respectable positive
## 10464 10464 respectable trust
## 10465 10465 respectful positive
## 10466 10466 respectful trust
## 10467 10467 respecting positive
## 10468 10468 respects positive
## 10469 10469 respects trust
## 10470 10470 respite joy
## 10471 10471 respite positive
## 10472 10472 respite trust
## 10473 10473 resplendent joy
## 10474 10474 resplendent positive
## 10475 10475 responsible positive
## 10476 10476 responsible trust
## 10477 10477 responsive anticipation
## 10478 10478 responsive positive
## 10479 10479 responsive trust
## 10480 10480 rest positive
## 10481 10481 restful positive
## 10482 10482 restitution anger
## 10483 10483 restitution positive
## 10484 10484 restlessness anticipation
## 10485 10485 restorative anticipation
## 10486 10486 restorative joy
## 10487 10487 restorative positive
## 10488 10488 restorative trust
## 10489 10489 restoring positive
## 10490 10490 restrain anger
## 10491 10491 restrain fear
## 10492 10492 restrain negative
## 10493 10493 restrained fear
## 10494 10494 restraint positive
## 10495 10495 restrict negative
## 10496 10496 restrict sadness
## 10497 10497 restriction anger
## 10498 10498 restriction fear
## 10499 10499 restriction negative
## 10500 10500 restriction sadness
## 10501 10501 restrictive negative
## 10502 10502 result anticipation
## 10503 10503 resultant anticipation
## 10504 10504 resumption positive
## 10505 10505 retain trust
## 10506 10506 retaliate anger
## 10507 10507 retaliate negative
## 10508 10508 retaliation anger
## 10509 10509 retaliation fear
## 10510 10510 retaliation negative
## 10511 10511 retaliatory anger
## 10512 10512 retaliatory negative
## 10513 10513 retard disgust
## 10514 10514 retard fear
## 10515 10515 retard negative
## 10516 10516 retard sadness
## 10517 10517 retardation negative
## 10518 10518 retention positive
## 10519 10519 reticent fear
## 10520 10520 reticent negative
## 10521 10521 retirement anticipation
## 10522 10522 retirement fear
## 10523 10523 retirement joy
## 10524 10524 retirement negative
## 10525 10525 retirement positive
## 10526 10526 retirement sadness
## 10527 10527 retirement trust
## 10528 10528 retort negative
## 10529 10529 retract anger
## 10530 10530 retract negative
## 10531 10531 retraction negative
## 10532 10532 retrenchment fear
## 10533 10533 retrenchment negative
## 10534 10534 retribution anger
## 10535 10535 retribution fear
## 10536 10536 retribution negative
## 10537 10537 retribution sadness
## 10538 10538 retrograde negative
## 10539 10539 reunion anticipation
## 10540 10540 reunion positive
## 10541 10541 reunion trust
## 10542 10542 revel joy
## 10543 10543 revel positive
## 10544 10544 revels joy
## 10545 10545 revels positive
## 10546 10546 revenge anger
## 10547 10547 revenge anticipation
## 10548 10548 revenge fear
## 10549 10549 revenge negative
## 10550 10550 revenge surprise
## 10551 10551 revere anticipation
## 10552 10552 revere joy
## 10553 10553 revere positive
## 10554 10554 revere trust
## 10555 10555 reverence joy
## 10556 10556 reverence positive
## 10557 10557 reverence trust
## 10558 10558 reverend joy
## 10559 10559 reverend positive
## 10560 10560 reverie joy
## 10561 10561 reverie positive
## 10562 10562 reverie trust
## 10563 10563 reversal anger
## 10564 10564 reversal disgust
## 10565 10565 reversal negative
## 10566 10566 reversal surprise
## 10567 10567 revise positive
## 10568 10568 revival anticipation
## 10569 10569 revival joy
## 10570 10570 revival positive
## 10571 10571 revival trust
## 10572 10572 revive anticipation
## 10573 10573 revive negative
## 10574 10574 revive positive
## 10575 10575 revocation negative
## 10576 10576 revoke anger
## 10577 10577 revoke disgust
## 10578 10578 revoke fear
## 10579 10579 revoke negative
## 10580 10580 revoke sadness
## 10581 10581 revolt anger
## 10582 10582 revolt negative
## 10583 10583 revolt surprise
## 10584 10584 revolting anger
## 10585 10585 revolting disgust
## 10586 10586 revolting fear
## 10587 10587 revolting negative
## 10588 10588 revolution anger
## 10589 10589 revolution anticipation
## 10590 10590 revolution fear
## 10591 10591 revolution negative
## 10592 10592 revolution positive
## 10593 10593 revolution sadness
## 10594 10594 revolution surprise
## 10595 10595 revolutionary positive
## 10596 10596 revolver anger
## 10597 10597 revolver fear
## 10598 10598 revolver negative
## 10599 10599 revolver sadness
## 10600 10600 revulsion anger
## 10601 10601 revulsion disgust
## 10602 10602 revulsion fear
## 10603 10603 revulsion negative
## 10604 10604 reward anticipation
## 10605 10605 reward joy
## 10606 10606 reward positive
## 10607 10607 reward surprise
## 10608 10608 reward trust
## 10609 10609 rheumatism anger
## 10610 10610 rheumatism fear
## 10611 10611 rheumatism negative
## 10612 10612 rheumatism sadness
## 10613 10613 rhythm positive
## 10614 10614 rhythmical joy
## 10615 10615 rhythmical positive
## 10616 10616 rhythmical surprise
## 10617 10617 ribbon anger
## 10618 10618 ribbon anticipation
## 10619 10619 ribbon joy
## 10620 10620 ribbon positive
## 10621 10621 richness positive
## 10622 10622 rickety negative
## 10623 10623 riddle surprise
## 10624 10624 riddled negative
## 10625 10625 rider positive
## 10626 10626 ridicule anger
## 10627 10627 ridicule disgust
## 10628 10628 ridicule negative
## 10629 10629 ridicule sadness
## 10630 10630 ridiculous anger
## 10631 10631 ridiculous disgust
## 10632 10632 ridiculous negative
## 10633 10633 rife negative
## 10634 10634 rifle anger
## 10635 10635 rifle fear
## 10636 10636 rifle negative
## 10637 10637 rift negative
## 10638 10638 righteous positive
## 10639 10639 rightful positive
## 10640 10640 rightly positive
## 10641 10641 rigid negative
## 10642 10642 rigidity negative
## 10643 10643 rigor disgust
## 10644 10644 rigor fear
## 10645 10645 rigor negative
## 10646 10646 rigorous negative
## 10647 10647 ringer anger
## 10648 10648 ringer negative
## 10649 10649 riot anger
## 10650 10650 riot fear
## 10651 10651 riot negative
## 10652 10652 riotous anger
## 10653 10653 riotous fear
## 10654 10654 riotous negative
## 10655 10655 riotous surprise
## 10656 10656 ripe positive
## 10657 10657 ripen anticipation
## 10658 10658 ripen positive
## 10659 10659 rising anticipation
## 10660 10660 rising joy
## 10661 10661 rising positive
## 10662 10662 risk anticipation
## 10663 10663 risk fear
## 10664 10664 risk negative
## 10665 10665 risky anticipation
## 10666 10666 risky fear
## 10667 10667 risky negative
## 10668 10668 rivalry anger
## 10669 10669 rivalry negative
## 10670 10670 riveting positive
## 10671 10671 roadster joy
## 10672 10672 roadster positive
## 10673 10673 roadster trust
## 10674 10674 rob anger
## 10675 10675 rob disgust
## 10676 10676 rob fear
## 10677 10677 rob negative
## 10678 10678 rob sadness
## 10679 10679 robber disgust
## 10680 10680 robber fear
## 10681 10681 robber negative
## 10682 10682 robbery anger
## 10683 10683 robbery disgust
## 10684 10684 robbery fear
## 10685 10685 robbery negative
## 10686 10686 robbery sadness
## 10687 10687 robust positive
## 10688 10688 rock positive
## 10689 10689 rocket anger
## 10690 10690 rod fear
## 10691 10691 rod positive
## 10692 10692 rod trust
## 10693 10693 rogue disgust
## 10694 10694 rogue negative
## 10695 10695 rollicking joy
## 10696 10696 rollicking positive
## 10697 10697 romance anticipation
## 10698 10698 romance fear
## 10699 10699 romance joy
## 10700 10700 romance positive
## 10701 10701 romance sadness
## 10702 10702 romance surprise
## 10703 10703 romance trust
## 10704 10704 romantic anticipation
## 10705 10705 romantic joy
## 10706 10706 romantic positive
## 10707 10707 romantic trust
## 10708 10708 romanticism joy
## 10709 10709 romanticism positive
## 10710 10710 romp joy
## 10711 10711 romp positive
## 10712 10712 rook anger
## 10713 10713 rook disgust
## 10714 10714 rook negative
## 10715 10715 rooted positive
## 10716 10716 rooted trust
## 10717 10717 rosy positive
## 10718 10718 rot disgust
## 10719 10719 rot fear
## 10720 10720 rot negative
## 10721 10721 rot sadness
## 10722 10722 rota positive
## 10723 10723 rota trust
## 10724 10724 rotting disgust
## 10725 10725 rotting negative
## 10726 10726 roughness negative
## 10727 10727 roulette anticipation
## 10728 10728 rout negative
## 10729 10729 routine positive
## 10730 10730 routine trust
## 10731 10731 row anger
## 10732 10732 row negative
## 10733 10733 rowdy negative
## 10734 10734 royalty positive
## 10735 10735 rubbish disgust
## 10736 10736 rubbish negative
## 10737 10737 rubble fear
## 10738 10738 rubble negative
## 10739 10739 rubble sadness
## 10740 10740 rubric positive
## 10741 10741 rue negative
## 10742 10742 rue sadness
## 10743 10743 ruffle negative
## 10744 10744 rugged negative
## 10745 10745 ruin fear
## 10746 10746 ruin negative
## 10747 10747 ruin sadness
## 10748 10748 ruined anger
## 10749 10749 ruined disgust
## 10750 10750 ruined fear
## 10751 10751 ruined negative
## 10752 10752 ruined sadness
## 10753 10753 ruinous anger
## 10754 10754 ruinous disgust
## 10755 10755 ruinous fear
## 10756 10756 ruinous negative
## 10757 10757 ruinous sadness
## 10758 10758 rule fear
## 10759 10759 rule trust
## 10760 10760 rumor negative
## 10761 10761 rumor sadness
## 10762 10762 runaway negative
## 10763 10763 runaway sadness
## 10764 10764 rupture fear
## 10765 10765 rupture negative
## 10766 10766 rupture sadness
## 10767 10767 rupture surprise
## 10768 10768 ruse negative
## 10769 10769 rust negative
## 10770 10770 rusty negative
## 10771 10771 ruth positive
## 10772 10772 ruthless anger
## 10773 10773 ruthless disgust
## 10774 10774 ruthless fear
## 10775 10775 ruthless negative
## 10776 10776 saber anger
## 10777 10777 saber fear
## 10778 10778 saber negative
## 10779 10779 sabotage anger
## 10780 10780 sabotage disgust
## 10781 10781 sabotage fear
## 10782 10782 sabotage negative
## 10783 10783 sabotage sadness
## 10784 10784 sabotage surprise
## 10785 10785 sacrifices disgust
## 10786 10786 sacrifices fear
## 10787 10787 sacrifices negative
## 10788 10788 sacrifices sadness
## 10789 10789 sadly negative
## 10790 10790 sadly sadness
## 10791 10791 sadness negative
## 10792 10792 sadness sadness
## 10793 10793 sadness trust
## 10794 10794 safe joy
## 10795 10795 safe positive
## 10796 10796 safe trust
## 10797 10797 safeguard positive
## 10798 10798 safeguard trust
## 10799 10799 safekeeping trust
## 10800 10800 sag fear
## 10801 10801 sag negative
## 10802 10802 sage positive
## 10803 10803 sage trust
## 10804 10804 saint anticipation
## 10805 10805 saint joy
## 10806 10806 saint positive
## 10807 10807 saint surprise
## 10808 10808 saint trust
## 10809 10809 saintly anticipation
## 10810 10810 saintly joy
## 10811 10811 saintly positive
## 10812 10812 saintly surprise
## 10813 10813 saintly trust
## 10814 10814 salary anticipation
## 10815 10815 salary joy
## 10816 10816 salary positive
## 10817 10817 salary trust
## 10818 10818 salient positive
## 10819 10819 saliva anticipation
## 10820 10820 sally surprise
## 10821 10821 saloon anger
## 10822 10822 salutary joy
## 10823 10823 salutary positive
## 10824 10824 salutary trust
## 10825 10825 salute joy
## 10826 10826 salute positive
## 10827 10827 salvation anticipation
## 10828 10828 salvation joy
## 10829 10829 salvation positive
## 10830 10830 salvation trust
## 10831 10831 salve positive
## 10832 10832 samurai fear
## 10833 10833 samurai positive
## 10834 10834 sanctification joy
## 10835 10835 sanctification positive
## 10836 10836 sanctification trust
## 10837 10837 sanctify anticipation
## 10838 10838 sanctify joy
## 10839 10839 sanctify positive
## 10840 10840 sanctify sadness
## 10841 10841 sanctify surprise
## 10842 10842 sanctify trust
## 10843 10843 sanctuary anticipation
## 10844 10844 sanctuary joy
## 10845 10845 sanctuary positive
## 10846 10846 sanctuary trust
## 10847 10847 sanguine positive
## 10848 10848 sanitary positive
## 10849 10849 sap negative
## 10850 10850 sap sadness
## 10851 10851 sappy trust
## 10852 10852 sarcasm anger
## 10853 10853 sarcasm disgust
## 10854 10854 sarcasm negative
## 10855 10855 sarcasm sadness
## 10856 10856 sarcoma fear
## 10857 10857 sarcoma negative
## 10858 10858 sarcoma sadness
## 10859 10859 sardonic negative
## 10860 10860 satanic anger
## 10861 10861 satanic negative
## 10862 10862 satin positive
## 10863 10863 satisfactorily positive
## 10864 10864 satisfied joy
## 10865 10865 satisfied positive
## 10866 10866 saturated disgust
## 10867 10867 saturated negative
## 10868 10868 savage anger
## 10869 10869 savage fear
## 10870 10870 savage negative
## 10871 10871 savagery anger
## 10872 10872 savagery fear
## 10873 10873 savagery negative
## 10874 10874 save joy
## 10875 10875 save positive
## 10876 10876 save trust
## 10877 10877 savings positive
## 10878 10878 savor anticipation
## 10879 10879 savor disgust
## 10880 10880 savor joy
## 10881 10881 savor positive
## 10882 10882 savor sadness
## 10883 10883 savor trust
## 10884 10884 savory positive
## 10885 10885 savvy positive
## 10886 10886 scab negative
## 10887 10887 scaffold fear
## 10888 10888 scaffold negative
## 10889 10889 scalpel fear
## 10890 10890 scalpel negative
## 10891 10891 scaly negative
## 10892 10892 scandal fear
## 10893 10893 scandal negative
## 10894 10894 scandalous anger
## 10895 10895 scandalous negative
## 10896 10896 scanty negative
## 10897 10897 scapegoat anger
## 10898 10898 scapegoat fear
## 10899 10899 scapegoat negative
## 10900 10900 scar anger
## 10901 10901 scar disgust
## 10902 10902 scar fear
## 10903 10903 scar negative
## 10904 10904 scar sadness
## 10905 10905 scarce fear
## 10906 10906 scarce negative
## 10907 10907 scarce sadness
## 10908 10908 scarcely negative
## 10909 10909 scarcely sadness
## 10910 10910 scarcity anger
## 10911 10911 scarcity fear
## 10912 10912 scarcity negative
## 10913 10913 scarcity sadness
## 10914 10914 scare anger
## 10915 10915 scare anticipation
## 10916 10916 scare fear
## 10917 10917 scare negative
## 10918 10918 scare surprise
## 10919 10919 scarecrow fear
## 10920 10920 scarecrow negative
## 10921 10921 scarecrow positive
## 10922 10922 scavenger negative
## 10923 10923 sceptical trust
## 10924 10924 scheme negative
## 10925 10925 schism anger
## 10926 10926 schism negative
## 10927 10927 schizophrenia anger
## 10928 10928 schizophrenia disgust
## 10929 10929 schizophrenia fear
## 10930 10930 schizophrenia negative
## 10931 10931 schizophrenia sadness
## 10932 10932 scholar positive
## 10933 10933 scholarship joy
## 10934 10934 scholarship positive
## 10935 10935 school trust
## 10936 10936 sciatica negative
## 10937 10937 scientific positive
## 10938 10938 scientific trust
## 10939 10939 scientist anticipation
## 10940 10940 scientist positive
## 10941 10941 scientist trust
## 10942 10942 scintilla positive
## 10943 10943 scoff anger
## 10944 10944 scoff disgust
## 10945 10945 scoff negative
## 10946 10946 scold anger
## 10947 10947 scold disgust
## 10948 10948 scold fear
## 10949 10949 scold negative
## 10950 10950 scold sadness
## 10951 10951 scolding anger
## 10952 10952 scolding negative
## 10953 10953 scorching anger
## 10954 10954 scorching negative
## 10955 10955 score anticipation
## 10956 10956 score joy
## 10957 10957 score positive
## 10958 10958 score surprise
## 10959 10959 scorn anger
## 10960 10960 scorn negative
## 10961 10961 scorpion anger
## 10962 10962 scorpion disgust
## 10963 10963 scorpion fear
## 10964 10964 scorpion negative
## 10965 10965 scorpion surprise
## 10966 10966 scotch negative
## 10967 10967 scoundrel anger
## 10968 10968 scoundrel disgust
## 10969 10969 scoundrel fear
## 10970 10970 scoundrel negative
## 10971 10971 scoundrel trust
## 10972 10972 scourge anger
## 10973 10973 scourge fear
## 10974 10974 scourge negative
## 10975 10975 scourge sadness
## 10976 10976 scrambling negative
## 10977 10977 scrapie anger
## 10978 10978 scrapie fear
## 10979 10979 scrapie negative
## 10980 10980 scrapie sadness
## 10981 10981 scream anger
## 10982 10982 scream disgust
## 10983 10983 scream fear
## 10984 10984 scream negative
## 10985 10985 scream surprise
## 10986 10986 screaming anger
## 10987 10987 screaming disgust
## 10988 10988 screaming fear
## 10989 10989 screaming negative
## 10990 10990 screech fear
## 10991 10991 screech negative
## 10992 10992 screech surprise
## 10993 10993 screwed anger
## 10994 10994 screwed negative
## 10995 10995 scribe positive
## 10996 10996 scrimmage negative
## 10997 10997 scrimmage surprise
## 10998 10998 script positive
## 10999 10999 scripture trust
## 11000 11000 scrub disgust
## 11001 11001 scrub negative
## 11002 11002 scrumptious positive
## 11003 11003 scrutinize anticipation
## 11004 11004 scrutinize negative
## 11005 11005 scrutiny negative
## 11006 11006 sculpture positive
## 11007 11007 scum disgust
## 11008 11008 scum negative
## 11009 11009 sea positive
## 11010 11010 seal positive
## 11011 11011 seal trust
## 11012 11012 seals trust
## 11013 11013 sear negative
## 11014 11014 seasoned positive
## 11015 11015 secession negative
## 11016 11016 secluded negative
## 11017 11017 secluded sadness
## 11018 11018 seclusion fear
## 11019 11019 seclusion negative
## 11020 11020 seclusion positive
## 11021 11021 secondhand negative
## 11022 11022 secrecy surprise
## 11023 11023 secrecy trust
## 11024 11024 secret trust
## 11025 11025 secretariat positive
## 11026 11026 secrete disgust
## 11027 11027 secretion disgust
## 11028 11028 secretion negative
## 11029 11029 secretive negative
## 11030 11030 sectarian anger
## 11031 11031 sectarian fear
## 11032 11032 sectarian negative
## 11033 11033 secular anticipation
## 11034 11034 securities trust
## 11035 11035 sedition anger
## 11036 11036 sedition negative
## 11037 11037 sedition sadness
## 11038 11038 seduce negative
## 11039 11039 seduction negative
## 11040 11040 seductive anticipation
## 11041 11041 seek anticipation
## 11042 11042 segregate anger
## 11043 11043 segregate disgust
## 11044 11044 segregate negative
## 11045 11045 segregate sadness
## 11046 11046 segregated negative
## 11047 11047 seize fear
## 11048 11048 seize negative
## 11049 11049 seizure fear
## 11050 11050 selfish anger
## 11051 11051 selfish disgust
## 11052 11052 selfish negative
## 11053 11053 selfishness negative
## 11054 11054 senate trust
## 11055 11055 senile fear
## 11056 11056 senile negative
## 11057 11057 senile sadness
## 11058 11058 seniority positive
## 11059 11059 seniority trust
## 11060 11060 sensational joy
## 11061 11061 sensational positive
## 11062 11062 sense positive
## 11063 11063 senseless anger
## 11064 11064 senseless disgust
## 11065 11065 senseless fear
## 11066 11066 senseless negative
## 11067 11067 senseless sadness
## 11068 11068 senseless surprise
## 11069 11069 sensibility positive
## 11070 11070 sensibly positive
## 11071 11071 sensual anticipation
## 11072 11072 sensual joy
## 11073 11073 sensual negative
## 11074 11074 sensual positive
## 11075 11075 sensual surprise
## 11076 11076 sensual trust
## 11077 11077 sensuality anticipation
## 11078 11078 sensuality joy
## 11079 11079 sensuality positive
## 11080 11080 sensuous joy
## 11081 11081 sensuous positive
## 11082 11082 sentence anger
## 11083 11083 sentence anticipation
## 11084 11084 sentence disgust
## 11085 11085 sentence fear
## 11086 11086 sentence negative
## 11087 11087 sentence sadness
## 11088 11088 sentimental positive
## 11089 11089 sentimentality positive
## 11090 11090 sentinel positive
## 11091 11091 sentinel trust
## 11092 11092 sentry trust
## 11093 11093 separatist anger
## 11094 11094 separatist disgust
## 11095 11095 separatist negative
## 11096 11096 sepsis fear
## 11097 11097 sepsis negative
## 11098 11098 sepsis sadness
## 11099 11099 septic disgust
## 11100 11100 septic negative
## 11101 11101 sequel anticipation
## 11102 11102 sequestration negative
## 11103 11103 sequestration sadness
## 11104 11104 serene negative
## 11105 11105 serene trust
## 11106 11106 serenity anticipation
## 11107 11107 serenity joy
## 11108 11108 serenity positive
## 11109 11109 serenity trust
## 11110 11110 serial anticipation
## 11111 11111 series trust
## 11112 11112 seriousness fear
## 11113 11113 seriousness sadness
## 11114 11114 sermon positive
## 11115 11115 sermon trust
## 11116 11116 serpent disgust
## 11117 11117 serpent fear
## 11118 11118 serpent negative
## 11119 11119 serum positive
## 11120 11120 servant negative
## 11121 11121 servant trust
## 11122 11122 serve negative
## 11123 11123 serve trust
## 11124 11124 servile disgust
## 11125 11125 servile fear
## 11126 11126 servile negative
## 11127 11127 servile sadness
## 11128 11128 servitude negative
## 11129 11129 setback negative
## 11130 11130 setback sadness
## 11131 11131 settlor fear
## 11132 11132 settlor positive
## 11133 11133 sever negative
## 11134 11134 severance sadness
## 11135 11135 sewage disgust
## 11136 11136 sewage negative
## 11137 11137 sewer disgust
## 11138 11138 sewerage disgust
## 11139 11139 sewerage negative
## 11140 11140 sex anticipation
## 11141 11141 sex joy
## 11142 11142 sex positive
## 11143 11143 sex trust
## 11144 11144 shabby disgust
## 11145 11145 shabby negative
## 11146 11146 shack disgust
## 11147 11147 shack negative
## 11148 11148 shack sadness
## 11149 11149 shackle anger
## 11150 11150 shackle anticipation
## 11151 11151 shackle disgust
## 11152 11152 shackle fear
## 11153 11153 shackle negative
## 11154 11154 shackle sadness
## 11155 11155 shady fear
## 11156 11156 shady negative
## 11157 11157 shaking fear
## 11158 11158 shaking negative
## 11159 11159 shaky anger
## 11160 11160 shaky anticipation
## 11161 11161 shaky fear
## 11162 11162 shaky negative
## 11163 11163 sham anger
## 11164 11164 sham disgust
## 11165 11165 sham negative
## 11166 11166 shambles negative
## 11167 11167 shame disgust
## 11168 11168 shame fear
## 11169 11169 shame negative
## 11170 11170 shame sadness
## 11171 11171 shameful negative
## 11172 11172 shameful sadness
## 11173 11173 shameless disgust
## 11174 11174 shameless negative
## 11175 11175 shanghai disgust
## 11176 11176 shanghai fear
## 11177 11177 shanghai negative
## 11178 11178 shank fear
## 11179 11179 shape positive
## 11180 11180 shapely positive
## 11181 11181 share anticipation
## 11182 11182 share joy
## 11183 11183 share positive
## 11184 11184 share trust
## 11185 11185 shark negative
## 11186 11186 sharpen anger
## 11187 11187 sharpen anticipation
## 11188 11188 shatter anger
## 11189 11189 shatter fear
## 11190 11190 shatter negative
## 11191 11191 shatter sadness
## 11192 11192 shatter surprise
## 11193 11193 shattered negative
## 11194 11194 shattered sadness
## 11195 11195 shed negative
## 11196 11196 shell anger
## 11197 11197 shell fear
## 11198 11198 shell negative
## 11199 11199 shell sadness
## 11200 11200 shell surprise
## 11201 11201 shelter positive
## 11202 11202 shelter trust
## 11203 11203 shelved negative
## 11204 11204 shepherd positive
## 11205 11205 shepherd trust
## 11206 11206 sheriff trust
## 11207 11207 shine positive
## 11208 11208 shining anticipation
## 11209 11209 shining joy
## 11210 11210 shining positive
## 11211 11211 ship anticipation
## 11212 11212 shipwreck fear
## 11213 11213 shipwreck negative
## 11214 11214 shipwreck sadness
## 11215 11215 shit anger
## 11216 11216 shit disgust
## 11217 11217 shit negative
## 11218 11218 shiver anger
## 11219 11219 shiver anticipation
## 11220 11220 shiver fear
## 11221 11221 shiver negative
## 11222 11222 shiver sadness
## 11223 11223 shock anger
## 11224 11224 shock fear
## 11225 11225 shock negative
## 11226 11226 shock surprise
## 11227 11227 shockingly surprise
## 11228 11228 shoddy anger
## 11229 11229 shoddy disgust
## 11230 11230 shoddy negative
## 11231 11231 shoot anger
## 11232 11232 shoot fear
## 11233 11233 shoot negative
## 11234 11234 shooter fear
## 11235 11235 shooting anger
## 11236 11236 shooting fear
## 11237 11237 shooting negative
## 11238 11238 shopkeeper trust
## 11239 11239 shoplifting anger
## 11240 11240 shoplifting disgust
## 11241 11241 shoplifting negative
## 11242 11242 shopping anticipation
## 11243 11243 shopping joy
## 11244 11244 shopping positive
## 11245 11245 shopping surprise
## 11246 11246 shopping trust
## 11247 11247 shortage anger
## 11248 11248 shortage fear
## 11249 11249 shortage negative
## 11250 11250 shortage sadness
## 11251 11251 shortcoming negative
## 11252 11252 shortly anticipation
## 11253 11253 shot anger
## 11254 11254 shot fear
## 11255 11255 shot negative
## 11256 11256 shot sadness
## 11257 11257 shot surprise
## 11258 11258 shoulder positive
## 11259 11259 shoulder trust
## 11260 11260 shout anger
## 11261 11261 shout surprise
## 11262 11262 shove anger
## 11263 11263 shove negative
## 11264 11264 show trust
## 11265 11265 showy negative
## 11266 11266 shrapnel fear
## 11267 11267 shrewd positive
## 11268 11268 shriek anger
## 11269 11269 shriek fear
## 11270 11270 shriek negative
## 11271 11271 shriek sadness
## 11272 11272 shriek surprise
## 11273 11273 shrill anger
## 11274 11274 shrill fear
## 11275 11275 shrill negative
## 11276 11276 shrill surprise
## 11277 11277 shrink fear
## 11278 11278 shrink negative
## 11279 11279 shrink sadness
## 11280 11280 shroud sadness
## 11281 11281 shrunk negative
## 11282 11282 shudder fear
## 11283 11283 shudder negative
## 11284 11284 shun anger
## 11285 11285 shun disgust
## 11286 11286 shun negative
## 11287 11287 shun sadness
## 11288 11288 sib trust
## 11289 11289 sick disgust
## 11290 11290 sick negative
## 11291 11291 sick sadness
## 11292 11292 sickening anger
## 11293 11293 sickening disgust
## 11294 11294 sickening fear
## 11295 11295 sickening negative
## 11296 11296 sickening sadness
## 11297 11297 sickly disgust
## 11298 11298 sickly negative
## 11299 11299 sickly sadness
## 11300 11300 sickness disgust
## 11301 11301 sickness fear
## 11302 11302 sickness negative
## 11303 11303 sickness sadness
## 11304 11304 signature trust
## 11305 11305 signify anticipation
## 11306 11306 silk positive
## 11307 11307 silly joy
## 11308 11308 silly negative
## 11309 11309 simmer anger
## 11310 11310 simmer anticipation
## 11311 11311 simmering anticipation
## 11312 11312 simplify anticipation
## 11313 11313 simplify joy
## 11314 11314 simplify positive
## 11315 11315 simplify surprise
## 11316 11316 simplify trust
## 11317 11317 sin anger
## 11318 11318 sin disgust
## 11319 11319 sin fear
## 11320 11320 sin negative
## 11321 11321 sin sadness
## 11322 11322 sincere positive
## 11323 11323 sincere trust
## 11324 11324 sincerity positive
## 11325 11325 sinful anger
## 11326 11326 sinful disgust
## 11327 11327 sinful fear
## 11328 11328 sinful negative
## 11329 11329 sinful sadness
## 11330 11330 sing anticipation
## 11331 11331 sing joy
## 11332 11332 sing positive
## 11333 11333 sing sadness
## 11334 11334 sing trust
## 11335 11335 singly positive
## 11336 11336 singularly surprise
## 11337 11337 sinister anger
## 11338 11338 sinister disgust
## 11339 11339 sinister fear
## 11340 11340 sinister negative
## 11341 11341 sinner anger
## 11342 11342 sinner disgust
## 11343 11343 sinner fear
## 11344 11344 sinner negative
## 11345 11345 sinner sadness
## 11346 11346 sinning disgust
## 11347 11347 sinning negative
## 11348 11348 sir positive
## 11349 11349 sir trust
## 11350 11350 siren fear
## 11351 11351 siren negative
## 11352 11352 sissy negative
## 11353 11353 sisterhood anger
## 11354 11354 sisterhood positive
## 11355 11355 sisterhood sadness
## 11356 11356 sisterhood surprise
## 11357 11357 sisterhood trust
## 11358 11358 sizzle anger
## 11359 11359 skeptical negative
## 11360 11360 sketchy negative
## 11361 11361 skewed anger
## 11362 11362 skewed anticipation
## 11363 11363 skewed negative
## 11364 11364 skid anger
## 11365 11365 skid fear
## 11366 11366 skid negative
## 11367 11367 skid sadness
## 11368 11368 skilled positive
## 11369 11369 skillful positive
## 11370 11370 skillful trust
## 11371 11371 skip negative
## 11372 11372 skirmish anger
## 11373 11373 skirmish negative
## 11374 11374 sky positive
## 11375 11375 slack negative
## 11376 11376 slag negative
## 11377 11377 slam anger
## 11378 11378 slam fear
## 11379 11379 slam negative
## 11380 11380 slam surprise
## 11381 11381 slander anger
## 11382 11382 slander disgust
## 11383 11383 slander negative
## 11384 11384 slanderous negative
## 11385 11385 slap anger
## 11386 11386 slap negative
## 11387 11387 slap surprise
## 11388 11388 slash anger
## 11389 11389 slate positive
## 11390 11390 slaughter anger
## 11391 11391 slaughter disgust
## 11392 11392 slaughter fear
## 11393 11393 slaughter negative
## 11394 11394 slaughter sadness
## 11395 11395 slaughter surprise
## 11396 11396 slaughterhouse anger
## 11397 11397 slaughterhouse disgust
## 11398 11398 slaughterhouse fear
## 11399 11399 slaughterhouse negative
## 11400 11400 slaughterhouse sadness
## 11401 11401 slaughtering anger
## 11402 11402 slaughtering disgust
## 11403 11403 slaughtering fear
## 11404 11404 slaughtering negative
## 11405 11405 slaughtering sadness
## 11406 11406 slaughtering surprise
## 11407 11407 slave anger
## 11408 11408 slave fear
## 11409 11409 slave negative
## 11410 11410 slave sadness
## 11411 11411 slavery anger
## 11412 11412 slavery disgust
## 11413 11413 slavery fear
## 11414 11414 slavery negative
## 11415 11415 slavery sadness
## 11416 11416 slay anger
## 11417 11417 slay negative
## 11418 11418 slayer anger
## 11419 11419 slayer disgust
## 11420 11420 slayer fear
## 11421 11421 slayer negative
## 11422 11422 slayer sadness
## 11423 11423 slayer surprise
## 11424 11424 sleek positive
## 11425 11425 sleet negative
## 11426 11426 slender positive
## 11427 11427 slim positive
## 11428 11428 slime disgust
## 11429 11429 slimy disgust
## 11430 11430 slimy negative
## 11431 11431 slink negative
## 11432 11432 slip negative
## 11433 11433 slip surprise
## 11434 11434 slop disgust
## 11435 11435 slop negative
## 11436 11436 sloppy disgust
## 11437 11437 sloppy negative
## 11438 11438 sloth disgust
## 11439 11439 sloth negative
## 11440 11440 slouch negative
## 11441 11441 slough negative
## 11442 11442 slowness negative
## 11443 11443 sludge disgust
## 11444 11444 sludge negative
## 11445 11445 slug disgust
## 11446 11446 slug negative
## 11447 11447 sluggish negative
## 11448 11448 sluggish sadness
## 11449 11449 slum disgust
## 11450 11450 slum negative
## 11451 11451 slump negative
## 11452 11452 slump sadness
## 11453 11453 slur anger
## 11454 11454 slur disgust
## 11455 11455 slur negative
## 11456 11456 slur sadness
## 11457 11457 slush disgust
## 11458 11458 slush negative
## 11459 11459 slush surprise
## 11460 11460 slut anger
## 11461 11461 slut disgust
## 11462 11462 slut negative
## 11463 11463 sly anger
## 11464 11464 sly disgust
## 11465 11465 sly fear
## 11466 11466 sly negative
## 11467 11467 smack anger
## 11468 11468 smack negative
## 11469 11469 small negative
## 11470 11470 smash anger
## 11471 11471 smash fear
## 11472 11472 smash negative
## 11473 11473 smashed negative
## 11474 11474 smattering negative
## 11475 11475 smell anger
## 11476 11476 smell disgust
## 11477 11477 smell negative
## 11478 11478 smelling disgust
## 11479 11479 smelling negative
## 11480 11480 smile joy
## 11481 11481 smile positive
## 11482 11482 smile surprise
## 11483 11483 smile trust
## 11484 11484 smiling joy
## 11485 11485 smiling positive
## 11486 11486 smirk negative
## 11487 11487 smite anger
## 11488 11488 smite fear
## 11489 11489 smite negative
## 11490 11490 smite sadness
## 11491 11491 smith trust
## 11492 11492 smitten positive
## 11493 11493 smoker negative
## 11494 11494 smoothness positive
## 11495 11495 smother anger
## 11496 11496 smother negative
## 11497 11497 smudge negative
## 11498 11498 smug negative
## 11499 11499 smuggle fear
## 11500 11500 smuggle negative
## 11501 11501 smuggler anger
## 11502 11502 smuggler disgust
## 11503 11503 smuggler fear
## 11504 11504 smuggler negative
## 11505 11505 smuggling negative
## 11506 11506 smut disgust
## 11507 11507 smut fear
## 11508 11508 smut negative
## 11509 11509 snag negative
## 11510 11510 snag surprise
## 11511 11511 snags negative
## 11512 11512 snake disgust
## 11513 11513 snake fear
## 11514 11514 snake negative
## 11515 11515 snare fear
## 11516 11516 snare negative
## 11517 11517 snarl anger
## 11518 11518 snarl disgust
## 11519 11519 snarl negative
## 11520 11520 snarling anger
## 11521 11521 snarling negative
## 11522 11522 sneak anger
## 11523 11523 sneak fear
## 11524 11524 sneak negative
## 11525 11525 sneak surprise
## 11526 11526 sneaking anticipation
## 11527 11527 sneaking fear
## 11528 11528 sneaking negative
## 11529 11529 sneaking trust
## 11530 11530 sneer anger
## 11531 11531 sneer disgust
## 11532 11532 sneer negative
## 11533 11533 sneeze disgust
## 11534 11534 sneeze negative
## 11535 11535 sneeze surprise
## 11536 11536 snicker positive
## 11537 11537 snide negative
## 11538 11538 snob negative
## 11539 11539 snort sadness
## 11540 11540 soak negative
## 11541 11541 sob negative
## 11542 11542 sob sadness
## 11543 11543 sobriety positive
## 11544 11544 sobriety trust
## 11545 11545 sociable positive
## 11546 11546 socialism disgust
## 11547 11547 socialism fear
## 11548 11548 socialist anger
## 11549 11549 socialist disgust
## 11550 11550 socialist fear
## 11551 11551 socialist negative
## 11552 11552 socialist sadness
## 11553 11553 soil disgust
## 11554 11554 soil negative
## 11555 11555 soiled disgust
## 11556 11556 soiled negative
## 11557 11557 solace positive
## 11558 11558 soldier anger
## 11559 11559 soldier positive
## 11560 11560 soldier sadness
## 11561 11561 solid positive
## 11562 11562 solidarity trust
## 11563 11563 solidity positive
## 11564 11564 solidity trust
## 11565 11565 solution positive
## 11566 11566 solvency positive
## 11567 11567 somatic negative
## 11568 11568 somatic surprise
## 11569 11569 somber negative
## 11570 11570 somber sadness
## 11571 11571 sonar anticipation
## 11572 11572 sonar positive
## 11573 11573 sonata positive
## 11574 11574 sonnet joy
## 11575 11575 sonnet positive
## 11576 11576 sonnet sadness
## 11577 11577 sonorous joy
## 11578 11578 sonorous positive
## 11579 11579 soot disgust
## 11580 11580 soot negative
## 11581 11581 soothe positive
## 11582 11582 soothing joy
## 11583 11583 soothing positive
## 11584 11584 soothing trust
## 11585 11585 sorcery anticipation
## 11586 11586 sorcery fear
## 11587 11587 sorcery negative
## 11588 11588 sorcery surprise
## 11589 11589 sordid anger
## 11590 11590 sordid disgust
## 11591 11591 sordid fear
## 11592 11592 sordid negative
## 11593 11593 sordid sadness
## 11594 11594 sore anger
## 11595 11595 sore negative
## 11596 11596 sore sadness
## 11597 11597 sorely negative
## 11598 11598 sorely sadness
## 11599 11599 soreness disgust
## 11600 11600 soreness negative
## 11601 11601 soreness sadness
## 11602 11602 sorrow fear
## 11603 11603 sorrow negative
## 11604 11604 sorrow sadness
## 11605 11605 sorrowful negative
## 11606 11606 sorrowful sadness
## 11607 11607 sorter positive
## 11608 11608 sortie fear
## 11609 11609 sortie negative
## 11610 11610 soulless disgust
## 11611 11611 soulless fear
## 11612 11612 soulless negative
## 11613 11613 soulless sadness
## 11614 11614 soulmate fear
## 11615 11615 soulmate negative
## 11616 11616 soundness anticipation
## 11617 11617 soundness joy
## 11618 11618 soundness positive
## 11619 11619 soundness trust
## 11620 11620 soup positive
## 11621 11621 sour disgust
## 11622 11622 sour negative
## 11623 11623 sovereign trust
## 11624 11624 spa anticipation
## 11625 11625 spa joy
## 11626 11626 spa positive
## 11627 11627 spa surprise
## 11628 11628 spa trust
## 11629 11629 spacious positive
## 11630 11630 spaniel joy
## 11631 11631 spaniel positive
## 11632 11632 spaniel trust
## 11633 11633 spank anger
## 11634 11634 spank fear
## 11635 11635 spank negative
## 11636 11636 spank sadness
## 11637 11637 spanking anger
## 11638 11638 sparkle anticipation
## 11639 11639 sparkle joy
## 11640 11640 sparkle positive
## 11641 11641 sparkle surprise
## 11642 11642 spasm fear
## 11643 11643 spasm negative
## 11644 11644 spat anger
## 11645 11645 spat negative
## 11646 11646 spear anger
## 11647 11647 spear anticipation
## 11648 11648 spear fear
## 11649 11649 spear negative
## 11650 11650 special joy
## 11651 11651 special positive
## 11652 11652 specialist trust
## 11653 11653 specialize trust
## 11654 11654 specie positive
## 11655 11655 speck disgust
## 11656 11656 speck negative
## 11657 11657 spectacle negative
## 11658 11658 spectacle positive
## 11659 11659 spectacular anticipation
## 11660 11660 spectacular surprise
## 11661 11661 specter fear
## 11662 11662 specter negative
## 11663 11663 specter sadness
## 11664 11664 spectral negative
## 11665 11665 speculation fear
## 11666 11666 speculation negative
## 11667 11667 speculation sadness
## 11668 11668 speculative anticipation
## 11669 11669 speech positive
## 11670 11670 speedy positive
## 11671 11671 spelling positive
## 11672 11672 spent negative
## 11673 11673 spew disgust
## 11674 11674 spice positive
## 11675 11675 spider disgust
## 11676 11676 spider fear
## 11677 11677 spike fear
## 11678 11678 spine anger
## 11679 11679 spine negative
## 11680 11680 spine positive
## 11681 11681 spinster fear
## 11682 11682 spinster negative
## 11683 11683 spinster sadness
## 11684 11684 spirit positive
## 11685 11685 spirits anticipation
## 11686 11686 spirits joy
## 11687 11687 spirits positive
## 11688 11688 spirits surprise
## 11689 11689 spit disgust
## 11690 11690 spite anger
## 11691 11691 spite negative
## 11692 11692 spiteful anger
## 11693 11693 spiteful negative
## 11694 11694 splash surprise
## 11695 11695 splendid joy
## 11696 11696 splendid positive
## 11697 11697 splendid surprise
## 11698 11698 splendor anticipation
## 11699 11699 splendor joy
## 11700 11700 splendor positive
## 11701 11701 splendor surprise
## 11702 11702 splinter negative
## 11703 11703 split negative
## 11704 11704 splitting negative
## 11705 11705 splitting sadness
## 11706 11706 spoil disgust
## 11707 11707 spoil negative
## 11708 11708 spoiler negative
## 11709 11709 spoiler sadness
## 11710 11710 spoke negative
## 11711 11711 spokesman trust
## 11712 11712 sponge negative
## 11713 11713 sponsor positive
## 11714 11714 sponsor trust
## 11715 11715 spook fear
## 11716 11716 spook negative
## 11717 11717 spotless positive
## 11718 11718 spotless trust
## 11719 11719 spouse joy
## 11720 11720 spouse positive
## 11721 11721 spouse trust
## 11722 11722 sprain negative
## 11723 11723 sprain sadness
## 11724 11724 spree negative
## 11725 11725 sprite fear
## 11726 11726 sprite negative
## 11727 11727 spruce positive
## 11728 11728 spur fear
## 11729 11729 spurious disgust
## 11730 11730 spurious negative
## 11731 11731 squall fear
## 11732 11732 squall negative
## 11733 11733 squall sadness
## 11734 11734 squatter negative
## 11735 11735 squeamish disgust
## 11736 11736 squeamish fear
## 11737 11737 squeamish negative
## 11738 11738 squelch anger
## 11739 11739 squelch disgust
## 11740 11740 squelch negative
## 11741 11741 squirm disgust
## 11742 11742 squirm negative
## 11743 11743 stab anger
## 11744 11744 stab fear
## 11745 11745 stab negative
## 11746 11746 stab sadness
## 11747 11747 stab surprise
## 11748 11748 stable positive
## 11749 11749 stable trust
## 11750 11750 staccato positive
## 11751 11751 stagger surprise
## 11752 11752 staggering negative
## 11753 11753 stagnant negative
## 11754 11754 stagnant sadness
## 11755 11755 stain disgust
## 11756 11756 stain negative
## 11757 11757 stainless positive
## 11758 11758 stale negative
## 11759 11759 stalemate anger
## 11760 11760 stalemate disgust
## 11761 11761 stalk fear
## 11762 11762 stalk negative
## 11763 11763 stall disgust
## 11764 11764 stallion positive
## 11765 11765 stalwart positive
## 11766 11766 stamina positive
## 11767 11767 stamina trust
## 11768 11768 standing positive
## 11769 11769 standoff anger
## 11770 11770 standoff fear
## 11771 11771 standoff negative
## 11772 11772 standstill anger
## 11773 11773 standstill negative
## 11774 11774 star anticipation
## 11775 11775 star joy
## 11776 11776 star positive
## 11777 11777 star trust
## 11778 11778 staring negative
## 11779 11779 stark negative
## 11780 11780 stark trust
## 11781 11781 starlight positive
## 11782 11782 starry anticipation
## 11783 11783 starry joy
## 11784 11784 starry positive
## 11785 11785 start anticipation
## 11786 11786 startle fear
## 11787 11787 startle negative
## 11788 11788 startle surprise
## 11789 11789 startling surprise
## 11790 11790 starvation fear
## 11791 11791 starvation negative
## 11792 11792 starvation sadness
## 11793 11793 starved negative
## 11794 11794 starving negative
## 11795 11795 stately positive
## 11796 11796 statement positive
## 11797 11797 statement trust
## 11798 11798 stationary negative
## 11799 11799 statistical trust
## 11800 11800 statue positive
## 11801 11801 status positive
## 11802 11802 staunch positive
## 11803 11803 stave negative
## 11804 11804 steadfast positive
## 11805 11805 steadfast trust
## 11806 11806 steady surprise
## 11807 11807 steady trust
## 11808 11808 steal anger
## 11809 11809 steal fear
## 11810 11810 steal negative
## 11811 11811 steal sadness
## 11812 11812 stealing disgust
## 11813 11813 stealing fear
## 11814 11814 stealing negative
## 11815 11815 stealth surprise
## 11816 11816 stealthily surprise
## 11817 11817 stealthy anticipation
## 11818 11818 stealthy fear
## 11819 11819 stealthy negative
## 11820 11820 stealthy surprise
## 11821 11821 stellar positive
## 11822 11822 stereotype negative
## 11823 11823 stereotyped negative
## 11824 11824 sterile negative
## 11825 11825 sterile sadness
## 11826 11826 sterility negative
## 11827 11827 sterling anger
## 11828 11828 sterling anticipation
## 11829 11829 sterling joy
## 11830 11830 sterling negative
## 11831 11831 sterling positive
## 11832 11832 sterling trust
## 11833 11833 stern negative
## 11834 11834 steward positive
## 11835 11835 steward trust
## 11836 11836 sticky disgust
## 11837 11837 stiff negative
## 11838 11838 stiffness negative
## 11839 11839 stifle negative
## 11840 11840 stifled anger
## 11841 11841 stifled fear
## 11842 11842 stifled negative
## 11843 11843 stifled sadness
## 11844 11844 stigma anger
## 11845 11845 stigma disgust
## 11846 11846 stigma fear
## 11847 11847 stigma negative
## 11848 11848 stigma sadness
## 11849 11849 stillborn negative
## 11850 11850 stillborn sadness
## 11851 11851 stillness fear
## 11852 11852 stillness positive
## 11853 11853 stillness sadness
## 11854 11854 sting anger
## 11855 11855 sting fear
## 11856 11856 sting negative
## 11857 11857 stinging negative
## 11858 11858 stingy anger
## 11859 11859 stingy disgust
## 11860 11860 stingy fear
## 11861 11861 stingy negative
## 11862 11862 stingy sadness
## 11863 11863 stink disgust
## 11864 11864 stink negative
## 11865 11865 stinking disgust
## 11866 11866 stinking negative
## 11867 11867 stint fear
## 11868 11868 stint negative
## 11869 11869 stint sadness
## 11870 11870 stocks negative
## 11871 11871 stolen anger
## 11872 11872 stolen negative
## 11873 11873 stomach disgust
## 11874 11874 stone anger
## 11875 11875 stone negative
## 11876 11876 stoned negative
## 11877 11877 stools disgust
## 11878 11878 stools negative
## 11879 11879 stoppage negative
## 11880 11880 store anticipation
## 11881 11881 store positive
## 11882 11882 storm anger
## 11883 11883 storm negative
## 11884 11884 storming anger
## 11885 11885 stormy fear
## 11886 11886 stormy negative
## 11887 11887 straightforward positive
## 11888 11888 straightforward trust
## 11889 11889 strained anger
## 11890 11890 strained negative
## 11891 11891 straits fear
## 11892 11892 straits negative
## 11893 11893 stranded negative
## 11894 11894 stranger fear
## 11895 11895 stranger negative
## 11896 11896 strangle anger
## 11897 11897 strangle disgust
## 11898 11898 strangle fear
## 11899 11899 strangle negative
## 11900 11900 strangle sadness
## 11901 11901 strangle surprise
## 11902 11902 strategic positive
## 11903 11903 strategist anticipation
## 11904 11904 strategist positive
## 11905 11905 strategist trust
## 11906 11906 stray negative
## 11907 11907 strength positive
## 11908 11908 strength trust
## 11909 11909 strengthen positive
## 11910 11910 strengthening joy
## 11911 11911 strengthening positive
## 11912 11912 strengthening trust
## 11913 11913 stress negative
## 11914 11914 stretcher fear
## 11915 11915 stretcher sadness
## 11916 11916 stricken sadness
## 11917 11917 strife anger
## 11918 11918 strife negative
## 11919 11919 strike anger
## 11920 11920 strike negative
## 11921 11921 striking positive
## 11922 11922 strikingly positive
## 11923 11923 strip negative
## 11924 11924 strip sadness
## 11925 11925 stripe negative
## 11926 11926 stripped anger
## 11927 11927 stripped anticipation
## 11928 11928 stripped disgust
## 11929 11929 stripped fear
## 11930 11930 stripped negative
## 11931 11931 stripped sadness
## 11932 11932 strive anticipation
## 11933 11933 stroke fear
## 11934 11934 stroke negative
## 11935 11935 stroke sadness
## 11936 11936 strongly positive
## 11937 11937 structural trust
## 11938 11938 structure positive
## 11939 11939 structure trust
## 11940 11940 struggle anger
## 11941 11941 struggle fear
## 11942 11942 struggle negative
## 11943 11943 struggle sadness
## 11944 11944 strut negative
## 11945 11945 stud positive
## 11946 11946 study positive
## 11947 11947 stuffy negative
## 11948 11948 stumble negative
## 11949 11949 stunned fear
## 11950 11950 stunned negative
## 11951 11951 stunned surprise
## 11952 11952 stunted negative
## 11953 11953 stupid negative
## 11954 11954 stupidity negative
## 11955 11955 stupor negative
## 11956 11956 sturdy positive
## 11957 11957 sty disgust
## 11958 11958 sty negative
## 11959 11959 subdue negative
## 11960 11960 subito surprise
## 11961 11961 subject negative
## 11962 11962 subjected negative
## 11963 11963 subjected sadness
## 11964 11964 subjection negative
## 11965 11965 subjugation anger
## 11966 11966 subjugation disgust
## 11967 11967 subjugation fear
## 11968 11968 subjugation negative
## 11969 11969 subjugation sadness
## 11970 11970 sublimation joy
## 11971 11971 sublimation positive
## 11972 11972 submit anticipation
## 11973 11973 subordinate fear
## 11974 11974 subordinate negative
## 11975 11975 subpoena negative
## 11976 11976 subscribe anticipation
## 11977 11977 subsidence negative
## 11978 11978 subsidence sadness
## 11979 11979 subsidy anger
## 11980 11980 subsidy disgust
## 11981 11981 subsidy negative
## 11982 11982 subsist negative
## 11983 11983 substance positive
## 11984 11984 substantiate trust
## 11985 11985 substantive positive
## 11986 11986 subtract negative
## 11987 11987 subversion anger
## 11988 11988 subversion fear
## 11989 11989 subversion negative
## 11990 11990 subversive anger
## 11991 11991 subversive negative
## 11992 11992 subversive surprise
## 11993 11993 subvert disgust
## 11994 11994 subvert fear
## 11995 11995 subvert negative
## 11996 11996 subvert sadness
## 11997 11997 succeed anticipation
## 11998 11998 succeed joy
## 11999 11999 succeed positive
## 12000 12000 succeed surprise
## 12001 12001 succeed trust
## 12002 12002 succeeding anticipation
## 12003 12003 succeeding joy
## 12004 12004 succeeding positive
## 12005 12005 succeeding trust
## 12006 12006 success anticipation
## 12007 12007 success joy
## 12008 12008 success positive
## 12009 12009 successful anticipation
## 12010 12010 successful joy
## 12011 12011 successful positive
## 12012 12012 successful trust
## 12013 12013 succinct positive
## 12014 12014 succulent negative
## 12015 12015 succulent positive
## 12016 12016 succumb negative
## 12017 12017 suck negative
## 12018 12018 sucker anger
## 12019 12019 sucker negative
## 12020 12020 sudden surprise
## 12021 12021 suddenly surprise
## 12022 12022 sue anger
## 12023 12023 sue negative
## 12024 12024 sue sadness
## 12025 12025 suffer negative
## 12026 12026 sufferer fear
## 12027 12027 sufferer negative
## 12028 12028 sufferer sadness
## 12029 12029 suffering disgust
## 12030 12030 suffering fear
## 12031 12031 suffering negative
## 12032 12032 suffering sadness
## 12033 12033 sufficiency positive
## 12034 12034 suffocating disgust
## 12035 12035 suffocating fear
## 12036 12036 suffocating negative
## 12037 12037 suffocating sadness
## 12038 12038 suffocation anger
## 12039 12039 suffocation fear
## 12040 12040 suffocation negative
## 12041 12041 sugar positive
## 12042 12042 suggest trust
## 12043 12043 suicidal anger
## 12044 12044 suicidal disgust
## 12045 12045 suicidal fear
## 12046 12046 suicidal negative
## 12047 12047 suicidal sadness
## 12048 12048 suicide anger
## 12049 12049 suicide fear
## 12050 12050 suicide negative
## 12051 12051 suicide sadness
## 12052 12052 suitable positive
## 12053 12053 sullen anger
## 12054 12054 sullen negative
## 12055 12055 sullen sadness
## 12056 12056 sultan fear
## 12057 12057 sultry positive
## 12058 12058 summons negative
## 12059 12059 sump disgust
## 12060 12060 sun anticipation
## 12061 12061 sun joy
## 12062 12062 sun positive
## 12063 12063 sun surprise
## 12064 12064 sun trust
## 12065 12065 sundial anticipation
## 12066 12066 sundial trust
## 12067 12067 sunk disgust
## 12068 12068 sunk fear
## 12069 12069 sunk negative
## 12070 12070 sunk sadness
## 12071 12071 sunny anticipation
## 12072 12072 sunny joy
## 12073 12073 sunny positive
## 12074 12074 sunny surprise
## 12075 12075 sunset anticipation
## 12076 12076 sunset positive
## 12077 12077 sunshine joy
## 12078 12078 sunshine positive
## 12079 12079 superb positive
## 12080 12080 superficial negative
## 12081 12081 superfluous negative
## 12082 12082 superhuman positive
## 12083 12083 superior positive
## 12084 12084 superiority positive
## 12085 12085 superman joy
## 12086 12086 superman positive
## 12087 12087 superman trust
## 12088 12088 superstar joy
## 12089 12089 superstar positive
## 12090 12090 superstar trust
## 12091 12091 superstition fear
## 12092 12092 superstition negative
## 12093 12093 superstition positive
## 12094 12094 superstitious anticipation
## 12095 12095 superstitious fear
## 12096 12096 superstitious negative
## 12097 12097 supplication positive
## 12098 12098 supplication trust
## 12099 12099 supplies positive
## 12100 12100 supply positive
## 12101 12101 supported positive
## 12102 12102 supporter joy
## 12103 12103 supporter positive
## 12104 12104 supporter trust
## 12105 12105 supporting positive
## 12106 12106 supporting trust
## 12107 12107 suppress anger
## 12108 12108 suppress fear
## 12109 12109 suppress negative
## 12110 12110 suppress sadness
## 12111 12111 suppression anger
## 12112 12112 suppression disgust
## 12113 12113 suppression fear
## 12114 12114 suppression negative
## 12115 12115 supremacy anger
## 12116 12116 supremacy anticipation
## 12117 12117 supremacy fear
## 12118 12118 supremacy joy
## 12119 12119 supremacy negative
## 12120 12120 supremacy positive
## 12121 12121 supremacy surprise
## 12122 12122 supremacy trust
## 12123 12123 supreme positive
## 12124 12124 supremely positive
## 12125 12125 surcharge anger
## 12126 12126 surcharge negative
## 12127 12127 surety positive
## 12128 12128 surety trust
## 12129 12129 surge surprise
## 12130 12130 surgery fear
## 12131 12131 surgery sadness
## 12132 12132 surly anger
## 12133 12133 surly disgust
## 12134 12134 surly negative
## 12135 12135 surmise positive
## 12136 12136 surpassing positive
## 12137 12137 surprise fear
## 12138 12138 surprise joy
## 12139 12139 surprise positive
## 12140 12140 surprise surprise
## 12141 12141 surprised surprise
## 12142 12142 surprising surprise
## 12143 12143 surprisingly anticipation
## 12144 12144 surprisingly surprise
## 12145 12145 surrender fear
## 12146 12146 surrender negative
## 12147 12147 surrender sadness
## 12148 12148 surrendering negative
## 12149 12149 surrendering sadness
## 12150 12150 surrogate trust
## 12151 12151 surround anticipation
## 12152 12152 surround negative
## 12153 12153 surround positive
## 12154 12154 surveillance fear
## 12155 12155 surveying positive
## 12156 12156 survive positive
## 12157 12157 susceptible negative
## 12158 12158 suspect fear
## 12159 12159 suspect negative
## 12160 12160 suspense anticipation
## 12161 12161 suspense fear
## 12162 12162 suspense surprise
## 12163 12163 suspension fear
## 12164 12164 suspension negative
## 12165 12165 suspicion fear
## 12166 12166 suspicion negative
## 12167 12167 suspicious anger
## 12168 12168 suspicious anticipation
## 12169 12169 suspicious negative
## 12170 12170 swab negative
## 12171 12171 swamp disgust
## 12172 12172 swamp fear
## 12173 12173 swamp negative
## 12174 12174 swampy disgust
## 12175 12175 swampy fear
## 12176 12176 swampy negative
## 12177 12177 swarm disgust
## 12178 12178 swastika anger
## 12179 12179 swastika fear
## 12180 12180 swastika negative
## 12181 12181 swear positive
## 12182 12182 swear trust
## 12183 12183 sweat fear
## 12184 12184 sweet anticipation
## 12185 12185 sweet joy
## 12186 12186 sweet positive
## 12187 12187 sweet surprise
## 12188 12188 sweet trust
## 12189 12189 sweetheart anticipation
## 12190 12190 sweetheart joy
## 12191 12191 sweetheart positive
## 12192 12192 sweetheart sadness
## 12193 12193 sweetheart trust
## 12194 12194 sweetie positive
## 12195 12195 sweetness positive
## 12196 12196 sweets anticipation
## 12197 12197 sweets joy
## 12198 12198 sweets positive
## 12199 12199 swelling fear
## 12200 12200 swelling negative
## 12201 12201 swerve fear
## 12202 12202 swerve surprise
## 12203 12203 swift positive
## 12204 12204 swig disgust
## 12205 12205 swig negative
## 12206 12206 swim anticipation
## 12207 12207 swim fear
## 12208 12208 swim joy
## 12209 12209 swim positive
## 12210 12210 swine disgust
## 12211 12211 swine negative
## 12212 12212 swollen negative
## 12213 12213 symbolic positive
## 12214 12214 symmetrical positive
## 12215 12215 symmetry joy
## 12216 12216 symmetry positive
## 12217 12217 symmetry trust
## 12218 12218 sympathetic fear
## 12219 12219 sympathetic joy
## 12220 12220 sympathetic positive
## 12221 12221 sympathetic sadness
## 12222 12222 sympathetic trust
## 12223 12223 sympathize sadness
## 12224 12224 sympathy positive
## 12225 12225 sympathy sadness
## 12226 12226 symphony anticipation
## 12227 12227 symphony joy
## 12228 12228 symphony positive
## 12229 12229 symptom negative
## 12230 12230 synchronize anticipation
## 12231 12231 synchronize joy
## 12232 12232 synchronize positive
## 12233 12233 synchronize surprise
## 12234 12234 synchronize trust
## 12235 12235 syncope fear
## 12236 12236 syncope negative
## 12237 12237 syncope sadness
## 12238 12238 syncope surprise
## 12239 12239 synergistic positive
## 12240 12240 synergistic trust
## 12241 12241 synod positive
## 12242 12242 synod trust
## 12243 12243 synonymous fear
## 12244 12244 synonymous negative
## 12245 12245 synonymous positive
## 12246 12246 synonymous trust
## 12247 12247 syringe fear
## 12248 12248 system trust
## 12249 12249 taboo disgust
## 12250 12250 taboo fear
## 12251 12251 taboo negative
## 12252 12252 tabulate anticipation
## 12253 12253 tackle anger
## 12254 12254 tackle surprise
## 12255 12255 tact positive
## 12256 12256 tactics fear
## 12257 12257 tactics trust
## 12258 12258 taint negative
## 12259 12259 taint sadness
## 12260 12260 tale positive
## 12261 12261 talent positive
## 12262 12262 talisman positive
## 12263 12263 talk positive
## 12264 12264 talons anger
## 12265 12265 talons fear
## 12266 12266 talons negative
## 12267 12267 tandem trust
## 12268 12268 tangled negative
## 12269 12269 tanned positive
## 12270 12270 tantalizing anticipation
## 12271 12271 tantalizing joy
## 12272 12272 tantalizing negative
## 12273 12273 tantalizing positive
## 12274 12274 tantalizing surprise
## 12275 12275 tantamount trust
## 12276 12276 tardiness negative
## 12277 12277 tardy negative
## 12278 12278 tariff anger
## 12279 12279 tariff disgust
## 12280 12280 tariff negative
## 12281 12281 tarnish disgust
## 12282 12282 tarnish negative
## 12283 12283 tarnish sadness
## 12284 12284 tarry negative
## 12285 12285 task positive
## 12286 12286 tasteful positive
## 12287 12287 tasteless disgust
## 12288 12288 tasteless negative
## 12289 12289 tasty positive
## 12290 12290 taught trust
## 12291 12291 taunt anger
## 12292 12292 taunt fear
## 12293 12293 taunt negative
## 12294 12294 taunt sadness
## 12295 12295 tawny disgust
## 12296 12296 tax negative
## 12297 12297 tax sadness
## 12298 12298 teach joy
## 12299 12299 teach positive
## 12300 12300 teach surprise
## 12301 12301 teach trust
## 12302 12302 teacher positive
## 12303 12303 teacher trust
## 12304 12304 team trust
## 12305 12305 tearful disgust
## 12306 12306 tearful fear
## 12307 12307 tearful sadness
## 12308 12308 tease anger
## 12309 12309 tease anticipation
## 12310 12310 tease negative
## 12311 12311 tease sadness
## 12312 12312 teasing anger
## 12313 12313 teasing fear
## 12314 12314 teasing negative
## 12315 12315 technology positive
## 12316 12316 tedious negative
## 12317 12317 tedium negative
## 12318 12318 teeming disgust
## 12319 12319 teens negative
## 12320 12320 teens positive
## 12321 12321 temperance positive
## 12322 12322 temperate trust
## 12323 12323 tempered positive
## 12324 12324 tempest anger
## 12325 12325 tempest anticipation
## 12326 12326 tempest fear
## 12327 12327 tempest negative
## 12328 12328 tempest sadness
## 12329 12329 tempest surprise
## 12330 12330 temptation negative
## 12331 12331 tenable positive
## 12332 12332 tenacious positive
## 12333 12333 tenacity positive
## 12334 12334 tenancy positive
## 12335 12335 tenant positive
## 12336 12336 tender joy
## 12337 12337 tender positive
## 12338 12338 tender trust
## 12339 12339 tenderness joy
## 12340 12340 tenderness positive
## 12341 12341 tenement negative
## 12342 12342 tension anger
## 12343 12343 terminal fear
## 12344 12344 terminal negative
## 12345 12345 terminal sadness
## 12346 12346 terminate sadness
## 12347 12347 termination negative
## 12348 12348 termination sadness
## 12349 12349 termite disgust
## 12350 12350 termite negative
## 12351 12351 terrible anger
## 12352 12352 terrible disgust
## 12353 12353 terrible fear
## 12354 12354 terrible negative
## 12355 12355 terrible sadness
## 12356 12356 terribly sadness
## 12357 12357 terrific sadness
## 12358 12358 terror fear
## 12359 12359 terror negative
## 12360 12360 terrorism anger
## 12361 12361 terrorism disgust
## 12362 12362 terrorism fear
## 12363 12363 terrorism negative
## 12364 12364 terrorism sadness
## 12365 12365 terrorist anger
## 12366 12366 terrorist disgust
## 12367 12367 terrorist fear
## 12368 12368 terrorist negative
## 12369 12369 terrorist sadness
## 12370 12370 terrorist surprise
## 12371 12371 terrorize anger
## 12372 12372 terrorize fear
## 12373 12373 terrorize negative
## 12374 12374 terrorize sadness
## 12375 12375 testament anticipation
## 12376 12376 testament trust
## 12377 12377 testimony trust
## 12378 12378 tetanus disgust
## 12379 12379 tetanus negative
## 12380 12380 tether negative
## 12381 12381 thankful joy
## 12382 12382 thankful positive
## 12383 12383 thanksgiving joy
## 12384 12384 thanksgiving positive
## 12385 12385 theft anger
## 12386 12386 theft disgust
## 12387 12387 theft fear
## 12388 12388 theft negative
## 12389 12389 theft sadness
## 12390 12390 theism disgust
## 12391 12391 theism negative
## 12392 12392 theocratic anger
## 12393 12393 theocratic fear
## 12394 12394 theocratic negative
## 12395 12395 theocratic sadness
## 12396 12396 theocratic trust
## 12397 12397 theological trust
## 12398 12398 theology anticipation
## 12399 12399 theorem trust
## 12400 12400 theoretical positive
## 12401 12401 theory anticipation
## 12402 12402 theory trust
## 12403 12403 therapeutic joy
## 12404 12404 therapeutic positive
## 12405 12405 therapeutic trust
## 12406 12406 therapeutics positive
## 12407 12407 thermocouple anticipation
## 12408 12408 thermometer trust
## 12409 12409 thief anger
## 12410 12410 thief disgust
## 12411 12411 thief fear
## 12412 12412 thief negative
## 12413 12413 thief sadness
## 12414 12414 thief surprise
## 12415 12415 thinker positive
## 12416 12416 thirst anticipation
## 12417 12417 thirst sadness
## 12418 12418 thirst surprise
## 12419 12419 thirsty negative
## 12420 12420 thirteenth fear
## 12421 12421 thorn negative
## 12422 12422 thorny fear
## 12423 12423 thorny negative
## 12424 12424 thoroughbred positive
## 12425 12425 thought anticipation
## 12426 12426 thoughtful positive
## 12427 12427 thoughtful trust
## 12428 12428 thoughtfulness positive
## 12429 12429 thoughtless anger
## 12430 12430 thoughtless disgust
## 12431 12431 thoughtless negative
## 12432 12432 thrash anger
## 12433 12433 thrash disgust
## 12434 12434 thrash fear
## 12435 12435 thrash negative
## 12436 12436 thrash sadness
## 12437 12437 threat anger
## 12438 12438 threat fear
## 12439 12439 threat negative
## 12440 12440 threaten anger
## 12441 12441 threaten anticipation
## 12442 12442 threaten fear
## 12443 12443 threaten negative
## 12444 12444 threatening anger
## 12445 12445 threatening disgust
## 12446 12446 threatening fear
## 12447 12447 threatening negative
## 12448 12448 thresh anger
## 12449 12449 thresh fear
## 12450 12450 thresh negative
## 12451 12451 thresh sadness
## 12452 12452 thrift disgust
## 12453 12453 thrift positive
## 12454 12454 thrift trust
## 12455 12455 thrill anticipation
## 12456 12456 thrill fear
## 12457 12457 thrill joy
## 12458 12458 thrill positive
## 12459 12459 thrill surprise
## 12460 12460 thrilling anticipation
## 12461 12461 thrilling joy
## 12462 12462 thrilling positive
## 12463 12463 thrilling surprise
## 12464 12464 thriving anticipation
## 12465 12465 thriving joy
## 12466 12466 thriving positive
## 12467 12467 throb fear
## 12468 12468 throb negative
## 12469 12469 throb sadness
## 12470 12470 throne positive
## 12471 12471 throne trust
## 12472 12472 throttle anger
## 12473 12473 throttle negative
## 12474 12474 thug anger
## 12475 12475 thug disgust
## 12476 12476 thug fear
## 12477 12477 thug negative
## 12478 12478 thump anger
## 12479 12479 thump negative
## 12480 12480 thumping fear
## 12481 12481 thundering anger
## 12482 12482 thundering fear
## 12483 12483 thundering negative
## 12484 12484 thwart negative
## 12485 12485 thwart surprise
## 12486 12486 tickle anticipation
## 12487 12487 tickle joy
## 12488 12488 tickle positive
## 12489 12489 tickle surprise
## 12490 12490 tickle trust
## 12491 12491 tiff anger
## 12492 12492 tiff negative
## 12493 12493 tighten anger
## 12494 12494 tiling positive
## 12495 12495 time anticipation
## 12496 12496 timely positive
## 12497 12497 timid fear
## 12498 12498 timid negative
## 12499 12499 timid sadness
## 12500 12500 timidity anticipation
## 12501 12501 timidity fear
## 12502 12502 timidity negative
## 12503 12503 tinsel joy
## 12504 12504 tinsel positive
## 12505 12505 tipsy negative
## 12506 12506 tirade anger
## 12507 12507 tirade disgust
## 12508 12508 tirade negative
## 12509 12509 tired negative
## 12510 12510 tiredness negative
## 12511 12511 tiresome negative
## 12512 12512 tit negative
## 12513 12513 title positive
## 12514 12514 title trust
## 12515 12515 toad disgust
## 12516 12516 toad negative
## 12517 12517 toast joy
## 12518 12518 toast positive
## 12519 12519 tobacco negative
## 12520 12520 toilet disgust
## 12521 12521 toilet negative
## 12522 12522 toils negative
## 12523 12523 tolerant positive
## 12524 12524 tolerate anger
## 12525 12525 tolerate negative
## 12526 12526 tolerate sadness
## 12527 12527 toleration positive
## 12528 12528 tomb sadness
## 12529 12529 tomorrow anticipation
## 12530 12530 toothache fear
## 12531 12531 toothache negative
## 12532 12532 top anticipation
## 12533 12533 top positive
## 12534 12534 top trust
## 12535 12535 topple surprise
## 12536 12536 torment anger
## 12537 12537 torment fear
## 12538 12538 torment negative
## 12539 12539 torment sadness
## 12540 12540 torn negative
## 12541 12541 tornado fear
## 12542 12542 torpedo anger
## 12543 12543 torpedo negative
## 12544 12544 torrent fear
## 12545 12545 torrid negative
## 12546 12546 tort negative
## 12547 12547 tortious anger
## 12548 12548 tortious disgust
## 12549 12549 tortious negative
## 12550 12550 torture anger
## 12551 12551 torture anticipation
## 12552 12552 torture disgust
## 12553 12553 torture fear
## 12554 12554 torture negative
## 12555 12555 torture sadness
## 12556 12556 touched negative
## 12557 12557 touchy anger
## 12558 12558 touchy negative
## 12559 12559 touchy sadness
## 12560 12560 tough negative
## 12561 12561 tough sadness
## 12562 12562 toughness anger
## 12563 12563 toughness fear
## 12564 12564 toughness positive
## 12565 12565 toughness trust
## 12566 12566 tower positive
## 12567 12567 towering anticipation
## 12568 12568 towering fear
## 12569 12569 towering positive
## 12570 12570 toxic disgust
## 12571 12571 toxic negative
## 12572 12572 toxin fear
## 12573 12573 toxin negative
## 12574 12574 track anticipation
## 12575 12575 tract fear
## 12576 12576 trade trust
## 12577 12577 traditional positive
## 12578 12578 tragedy fear
## 12579 12579 tragedy negative
## 12580 12580 tragedy sadness
## 12581 12581 tragic negative
## 12582 12582 trainer trust
## 12583 12583 traitor anger
## 12584 12584 traitor disgust
## 12585 12585 traitor fear
## 12586 12586 traitor negative
## 12587 12587 traitor sadness
## 12588 12588 tramp disgust
## 12589 12589 tramp fear
## 12590 12590 tramp negative
## 12591 12591 tramp sadness
## 12592 12592 trance negative
## 12593 12593 tranquil joy
## 12594 12594 tranquil positive
## 12595 12595 tranquility joy
## 12596 12596 tranquility positive
## 12597 12597 tranquility trust
## 12598 12598 transaction trust
## 12599 12599 transcendence anticipation
## 12600 12600 transcendence joy
## 12601 12601 transcendence positive
## 12602 12602 transcendence surprise
## 12603 12603 transcendence trust
## 12604 12604 transcendental positive
## 12605 12605 transcript trust
## 12606 12606 transgression negative
## 12607 12607 transitional anticipation
## 12608 12608 translation trust
## 12609 12609 trappings negative
## 12610 12610 traps negative
## 12611 12611 trash disgust
## 12612 12612 trash negative
## 12613 12613 trash sadness
## 12614 12614 trashy disgust
## 12615 12615 trashy negative
## 12616 12616 traumatic anger
## 12617 12617 traumatic fear
## 12618 12618 traumatic negative
## 12619 12619 traumatic sadness
## 12620 12620 travail negative
## 12621 12621 traveling positive
## 12622 12622 travesty disgust
## 12623 12623 travesty fear
## 12624 12624 travesty negative
## 12625 12625 travesty sadness
## 12626 12626 treacherous anger
## 12627 12627 treacherous disgust
## 12628 12628 treacherous fear
## 12629 12629 treacherous negative
## 12630 12630 treachery anger
## 12631 12631 treachery fear
## 12632 12632 treachery negative
## 12633 12633 treachery sadness
## 12634 12634 treachery surprise
## 12635 12635 treadmill anticipation
## 12636 12636 treason anger
## 12637 12637 treason disgust
## 12638 12638 treason fear
## 12639 12639 treason negative
## 12640 12640 treason surprise
## 12641 12641 treasure anticipation
## 12642 12642 treasure joy
## 12643 12643 treasure positive
## 12644 12644 treasure trust
## 12645 12645 treasurer trust
## 12646 12646 treat anger
## 12647 12647 treat anticipation
## 12648 12648 treat disgust
## 12649 12649 treat fear
## 12650 12650 treat joy
## 12651 12651 treat negative
## 12652 12652 treat positive
## 12653 12653 treat sadness
## 12654 12654 treat surprise
## 12655 12655 treat trust
## 12656 12656 tree anger
## 12657 12657 tree anticipation
## 12658 12658 tree disgust
## 12659 12659 tree joy
## 12660 12660 tree positive
## 12661 12661 tree surprise
## 12662 12662 tree trust
## 12663 12663 trembling fear
## 12664 12664 trembling negative
## 12665 12665 tremendously positive
## 12666 12666 tremor anger
## 12667 12667 tremor anticipation
## 12668 12668 tremor fear
## 12669 12669 tremor negative
## 12670 12670 tremor sadness
## 12671 12671 trend positive
## 12672 12672 trendy positive
## 12673 12673 trepidation anticipation
## 12674 12674 trepidation fear
## 12675 12675 trepidation negative
## 12676 12676 trepidation surprise
## 12677 12677 trespass anger
## 12678 12678 trespass negative
## 12679 12679 tribe trust
## 12680 12680 tribulation fear
## 12681 12681 tribulation negative
## 12682 12682 tribulation sadness
## 12683 12683 tribunal anticipation
## 12684 12684 tribunal disgust
## 12685 12685 tribunal fear
## 12686 12686 tribunal negative
## 12687 12687 tribunal trust
## 12688 12688 tribune trust
## 12689 12689 tributary anticipation
## 12690 12690 tributary positive
## 12691 12691 tribute positive
## 12692 12692 trick negative
## 12693 12693 trick surprise
## 12694 12694 trickery anger
## 12695 12695 trickery disgust
## 12696 12696 trickery fear
## 12697 12697 trickery negative
## 12698 12698 trickery sadness
## 12699 12699 trickery surprise
## 12700 12700 trifle negative
## 12701 12701 trig positive
## 12702 12702 trip surprise
## 12703 12703 tripping anger
## 12704 12704 tripping negative
## 12705 12705 tripping sadness
## 12706 12706 triumph anticipation
## 12707 12707 triumph joy
## 12708 12708 triumph positive
## 12709 12709 triumphant anticipation
## 12710 12710 triumphant joy
## 12711 12711 triumphant positive
## 12712 12712 triumphant trust
## 12713 12713 troll anger
## 12714 12714 troll fear
## 12715 12715 troll negative
## 12716 12716 trophy anticipation
## 12717 12717 trophy joy
## 12718 12718 trophy positive
## 12719 12719 trophy surprise
## 12720 12720 trophy trust
## 12721 12721 troublesome anger
## 12722 12722 troublesome fear
## 12723 12723 troublesome negative
## 12724 12724 truce joy
## 12725 12725 truce positive
## 12726 12726 truce trust
## 12727 12727 truck trust
## 12728 12728 true joy
## 12729 12729 true positive
## 12730 12730 true trust
## 12731 12731 trump surprise
## 12732 12732 trumpet negative
## 12733 12733 truss trust
## 12734 12734 trust trust
## 12735 12735 trustee trust
## 12736 12736 trusty positive
## 12737 12737 truth positive
## 12738 12738 truth trust
## 12739 12739 truthful trust
## 12740 12740 truthfulness positive
## 12741 12741 truthfulness trust
## 12742 12742 tumble negative
## 12743 12743 tumor fear
## 12744 12744 tumor negative
## 12745 12745 tumour fear
## 12746 12746 tumour negative
## 12747 12747 tumour sadness
## 12748 12748 tumult anger
## 12749 12749 tumult fear
## 12750 12750 tumult negative
## 12751 12751 tumult surprise
## 12752 12752 tumultuous anger
## 12753 12753 tumultuous fear
## 12754 12754 tumultuous negative
## 12755 12755 turbulence anger
## 12756 12756 turbulence fear
## 12757 12757 turbulence negative
## 12758 12758 turbulent fear
## 12759 12759 turbulent negative
## 12760 12760 turmoil anger
## 12761 12761 turmoil fear
## 12762 12762 turmoil negative
## 12763 12763 turmoil sadness
## 12764 12764 tussle anger
## 12765 12765 tutelage positive
## 12766 12766 tutelage trust
## 12767 12767 tutor positive
## 12768 12768 twin positive
## 12769 12769 twinkle anticipation
## 12770 12770 twinkle joy
## 12771 12771 twinkle positive
## 12772 12772 twitch negative
## 12773 12773 typhoon fear
## 12774 12774 typhoon negative
## 12775 12775 tyrannical anger
## 12776 12776 tyrannical disgust
## 12777 12777 tyrannical fear
## 12778 12778 tyrannical negative
## 12779 12779 tyranny fear
## 12780 12780 tyranny negative
## 12781 12781 tyranny sadness
## 12782 12782 tyrant anger
## 12783 12783 tyrant disgust
## 12784 12784 tyrant fear
## 12785 12785 tyrant negative
## 12786 12786 tyrant sadness
## 12787 12787 ugliness disgust
## 12788 12788 ugliness fear
## 12789 12789 ugliness negative
## 12790 12790 ugliness sadness
## 12791 12791 ugly disgust
## 12792 12792 ugly negative
## 12793 12793 ulcer anger
## 12794 12794 ulcer disgust
## 12795 12795 ulcer fear
## 12796 12796 ulcer negative
## 12797 12797 ulcer sadness
## 12798 12798 ulterior negative
## 12799 12799 ultimate anticipation
## 12800 12800 ultimate sadness
## 12801 12801 ultimately anticipation
## 12802 12802 ultimately positive
## 12803 12803 ultimatum anger
## 12804 12804 ultimatum fear
## 12805 12805 ultimatum negative
## 12806 12806 umpire positive
## 12807 12807 umpire trust
## 12808 12808 unable negative
## 12809 12809 unable sadness
## 12810 12810 unacceptable negative
## 12811 12811 unacceptable sadness
## 12812 12812 unaccountable anticipation
## 12813 12813 unaccountable disgust
## 12814 12814 unaccountable negative
## 12815 12815 unaccountable sadness
## 12816 12816 unaccountable trust
## 12817 12817 unacknowledged sadness
## 12818 12818 unanimity positive
## 12819 12819 unanimous positive
## 12820 12820 unanticipated surprise
## 12821 12821 unapproved negative
## 12822 12822 unassuming positive
## 12823 12823 unattached negative
## 12824 12824 unattainable anger
## 12825 12825 unattainable negative
## 12826 12826 unattainable sadness
## 12827 12827 unattractive disgust
## 12828 12828 unattractive negative
## 12829 12829 unattractive sadness
## 12830 12830 unauthorized negative
## 12831 12831 unavoidable negative
## 12832 12832 unaware negative
## 12833 12833 unbearable disgust
## 12834 12834 unbearable negative
## 12835 12835 unbearable sadness
## 12836 12836 unbeaten anticipation
## 12837 12837 unbeaten joy
## 12838 12838 unbeaten negative
## 12839 12839 unbeaten positive
## 12840 12840 unbeaten sadness
## 12841 12841 unbeaten surprise
## 12842 12842 unbelief negative
## 12843 12843 unbelievable negative
## 12844 12844 unbiased positive
## 12845 12845 unborn negative
## 12846 12846 unbreakable positive
## 12847 12847 unbridled anger
## 12848 12848 unbridled anticipation
## 12849 12849 unbridled fear
## 12850 12850 unbridled negative
## 12851 12851 unbridled positive
## 12852 12852 unbridled surprise
## 12853 12853 unbroken positive
## 12854 12854 unbroken trust
## 12855 12855 uncanny fear
## 12856 12856 uncanny negative
## 12857 12857 uncanny surprise
## 12858 12858 uncaring anger
## 12859 12859 uncaring disgust
## 12860 12860 uncaring negative
## 12861 12861 uncaring sadness
## 12862 12862 uncertain anger
## 12863 12863 uncertain disgust
## 12864 12864 uncertain fear
## 12865 12865 uncertain negative
## 12866 12866 uncertain surprise
## 12867 12867 unchangeable negative
## 12868 12868 unclean disgust
## 12869 12869 unclean negative
## 12870 12870 uncomfortable negative
## 12871 12871 unconscionable disgust
## 12872 12872 unconscionable negative
## 12873 12873 unconscious negative
## 12874 12874 unconstitutional negative
## 12875 12875 unconstrained joy
## 12876 12876 unconstrained positive
## 12877 12877 uncontrollable anger
## 12878 12878 uncontrollable anticipation
## 12879 12879 uncontrollable negative
## 12880 12880 uncontrollable surprise
## 12881 12881 uncontrolled negative
## 12882 12882 uncover surprise
## 12883 12883 undecided anticipation
## 12884 12884 undecided fear
## 12885 12885 undecided negative
## 12886 12886 underestimate surprise
## 12887 12887 underline positive
## 12888 12888 undermined negative
## 12889 12889 underpaid anger
## 12890 12890 underpaid negative
## 12891 12891 underpaid sadness
## 12892 12892 undersized negative
## 12893 12893 understanding positive
## 12894 12894 understanding trust
## 12895 12895 undertaker sadness
## 12896 12896 undertaking anticipation
## 12897 12897 underwrite positive
## 12898 12898 underwrite trust
## 12899 12899 undesirable anger
## 12900 12900 undesirable disgust
## 12901 12901 undesirable fear
## 12902 12902 undesirable negative
## 12903 12903 undesirable sadness
## 12904 12904 undesired negative
## 12905 12905 undesired sadness
## 12906 12906 undisclosed anticipation
## 12907 12907 undiscovered surprise
## 12908 12908 undivided positive
## 12909 12909 undo negative
## 12910 12910 undoubted anticipation
## 12911 12911 undoubted disgust
## 12912 12912 undying anticipation
## 12913 12913 undying joy
## 12914 12914 undying positive
## 12915 12915 undying sadness
## 12916 12916 undying trust
## 12917 12917 uneasiness anticipation
## 12918 12918 uneasiness negative
## 12919 12919 uneasiness sadness
## 12920 12920 uneasy disgust
## 12921 12921 uneasy fear
## 12922 12922 uneasy negative
## 12923 12923 uneducated negative
## 12924 12924 uneducated sadness
## 12925 12925 unemployed fear
## 12926 12926 unemployed negative
## 12927 12927 unemployed sadness
## 12928 12928 unequal anger
## 12929 12929 unequal disgust
## 12930 12930 unequal fear
## 12931 12931 unequal negative
## 12932 12932 unequal sadness
## 12933 12933 unequivocal trust
## 12934 12934 unequivocally positive
## 12935 12935 uneven negative
## 12936 12936 unexpected anticipation
## 12937 12937 unexpected fear
## 12938 12938 unexpected joy
## 12939 12939 unexpected negative
## 12940 12940 unexpected positive
## 12941 12941 unexpected surprise
## 12942 12942 unexpectedly surprise
## 12943 12943 unexplained anticipation
## 12944 12944 unexplained negative
## 12945 12945 unexplained sadness
## 12946 12946 unfair anger
## 12947 12947 unfair disgust
## 12948 12948 unfair negative
## 12949 12949 unfair sadness
## 12950 12950 unfairness anger
## 12951 12951 unfairness negative
## 12952 12952 unfairness sadness
## 12953 12953 unfaithful disgust
## 12954 12954 unfaithful negative
## 12955 12955 unfavorable disgust
## 12956 12956 unfavorable negative
## 12957 12957 unfavorable sadness
## 12958 12958 unfinished negative
## 12959 12959 unfold anticipation
## 12960 12960 unfold positive
## 12961 12961 unforeseen surprise
## 12962 12962 unforgiving anger
## 12963 12963 unforgiving negative
## 12964 12964 unforgiving sadness
## 12965 12965 unfortunate negative
## 12966 12966 unfortunate sadness
## 12967 12967 unfriendly anger
## 12968 12968 unfriendly disgust
## 12969 12969 unfriendly fear
## 12970 12970 unfriendly negative
## 12971 12971 unfriendly sadness
## 12972 12972 unfulfilled anger
## 12973 12973 unfulfilled anticipation
## 12974 12974 unfulfilled negative
## 12975 12975 unfulfilled sadness
## 12976 12976 unfulfilled surprise
## 12977 12977 unfurnished negative
## 12978 12978 ungodly negative
## 12979 12979 ungodly sadness
## 12980 12980 ungrateful anger
## 12981 12981 ungrateful disgust
## 12982 12982 ungrateful negative
## 12983 12983 unguarded surprise
## 12984 12984 unhappiness negative
## 12985 12985 unhappiness sadness
## 12986 12986 unhappy anger
## 12987 12987 unhappy disgust
## 12988 12988 unhappy negative
## 12989 12989 unhappy sadness
## 12990 12990 unhealthy disgust
## 12991 12991 unhealthy fear
## 12992 12992 unhealthy negative
## 12993 12993 unhealthy sadness
## 12994 12994 unholy fear
## 12995 12995 unholy negative
## 12996 12996 unification anticipation
## 12997 12997 unification joy
## 12998 12998 unification positive
## 12999 12999 unification trust
## 13000 13000 uniformly positive
## 13001 13001 unimaginable negative
## 13002 13002 unimaginable positive
## 13003 13003 unimaginable surprise
## 13004 13004 unimportant negative
## 13005 13005 unimportant sadness
## 13006 13006 unimpressed negative
## 13007 13007 unimproved negative
## 13008 13008 uninfected positive
## 13009 13009 uninformed negative
## 13010 13010 uninitiated negative
## 13011 13011 uninspired negative
## 13012 13012 uninspired sadness
## 13013 13013 unintelligible negative
## 13014 13014 unintended surprise
## 13015 13015 unintentional surprise
## 13016 13016 unintentionally negative
## 13017 13017 unintentionally surprise
## 13018 13018 uninterested negative
## 13019 13019 uninterested sadness
## 13020 13020 uninteresting negative
## 13021 13021 uninteresting sadness
## 13022 13022 uninvited sadness
## 13023 13023 unique positive
## 13024 13024 unique surprise
## 13025 13025 unison positive
## 13026 13026 unitary positive
## 13027 13027 united positive
## 13028 13028 united trust
## 13029 13029 unity positive
## 13030 13030 unity trust
## 13031 13031 university anticipation
## 13032 13032 university positive
## 13033 13033 unjust anger
## 13034 13034 unjust negative
## 13035 13035 unjustifiable anger
## 13036 13036 unjustifiable disgust
## 13037 13037 unjustifiable fear
## 13038 13038 unjustifiable negative
## 13039 13039 unjustified negative
## 13040 13040 unkind anger
## 13041 13041 unkind disgust
## 13042 13042 unkind fear
## 13043 13043 unkind negative
## 13044 13044 unkind sadness
## 13045 13045 unknown anticipation
## 13046 13046 unknown fear
## 13047 13047 unknown negative
## 13048 13048 unlawful anger
## 13049 13049 unlawful disgust
## 13050 13050 unlawful fear
## 13051 13051 unlawful negative
## 13052 13052 unlawful sadness
## 13053 13053 unlicensed negative
## 13054 13054 unlimited positive
## 13055 13055 unlucky anger
## 13056 13056 unlucky disgust
## 13057 13057 unlucky fear
## 13058 13058 unlucky negative
## 13059 13059 unlucky sadness
## 13060 13060 unmanageable disgust
## 13061 13061 unmanageable negative
## 13062 13062 unnatural disgust
## 13063 13063 unnatural fear
## 13064 13064 unnatural negative
## 13065 13065 unofficial negative
## 13066 13066 unpaid anger
## 13067 13067 unpaid negative
## 13068 13068 unpaid sadness
## 13069 13069 unpleasant disgust
## 13070 13070 unpleasant negative
## 13071 13071 unpleasant sadness
## 13072 13072 unpopular disgust
## 13073 13073 unpopular negative
## 13074 13074 unpopular sadness
## 13075 13075 unprecedented surprise
## 13076 13076 unpredictable negative
## 13077 13077 unpredictable surprise
## 13078 13078 unprepared negative
## 13079 13079 unpretentious positive
## 13080 13080 unproductive negative
## 13081 13081 unprofitable negative
## 13082 13082 unprotected negative
## 13083 13083 unpublished anticipation
## 13084 13084 unpublished negative
## 13085 13085 unpublished sadness
## 13086 13086 unquestionable positive
## 13087 13087 unquestionable trust
## 13088 13088 unquestionably positive
## 13089 13089 unquestionably trust
## 13090 13090 unquestioned positive
## 13091 13091 unquestioned trust
## 13092 13092 unreliable negative
## 13093 13093 unreliable trust
## 13094 13094 unrequited negative
## 13095 13095 unrequited sadness
## 13096 13096 unresolved anticipation
## 13097 13097 unrest fear
## 13098 13098 unrest sadness
## 13099 13099 unruly anger
## 13100 13100 unruly disgust
## 13101 13101 unruly fear
## 13102 13102 unruly negative
## 13103 13103 unsafe fear
## 13104 13104 unsafe negative
## 13105 13105 unsatisfactory disgust
## 13106 13106 unsatisfactory negative
## 13107 13107 unsatisfied disgust
## 13108 13108 unsatisfied negative
## 13109 13109 unsatisfied sadness
## 13110 13110 unsavory negative
## 13111 13111 unscathed positive
## 13112 13112 unscrupulous negative
## 13113 13113 unseat sadness
## 13114 13114 unselfish positive
## 13115 13115 unsettled anger
## 13116 13116 unsettled disgust
## 13117 13117 unsettled fear
## 13118 13118 unsettled negative
## 13119 13119 unsightly disgust
## 13120 13120 unsightly negative
## 13121 13121 unsophisticated negative
## 13122 13122 unspeakable fear
## 13123 13123 unspeakable negative
## 13124 13124 unstable fear
## 13125 13125 unstable negative
## 13126 13126 unstable surprise
## 13127 13127 unsteady fear
## 13128 13128 unsuccessful negative
## 13129 13129 unsuccessful sadness
## 13130 13130 unsuitable negative
## 13131 13131 unsung negative
## 13132 13132 unsupported negative
## 13133 13133 unsurpassed anticipation
## 13134 13134 unsurpassed fear
## 13135 13135 unsurpassed joy
## 13136 13136 unsurpassed positive
## 13137 13137 unsurpassed trust
## 13138 13138 unsuspecting surprise
## 13139 13139 unsustainable negative
## 13140 13140 unsympathetic anger
## 13141 13141 unsympathetic negative
## 13142 13142 untamed negative
## 13143 13143 untenable negative
## 13144 13144 unthinkable anger
## 13145 13145 unthinkable disgust
## 13146 13146 unthinkable fear
## 13147 13147 unthinkable negative
## 13148 13148 untidy disgust
## 13149 13149 untidy negative
## 13150 13150 untie joy
## 13151 13151 untie negative
## 13152 13152 untie positive
## 13153 13153 untimely negative
## 13154 13154 untitled negative
## 13155 13155 untitled sadness
## 13156 13156 untold anticipation
## 13157 13157 untold negative
## 13158 13158 untoward anger
## 13159 13159 untoward disgust
## 13160 13160 untoward negative
## 13161 13161 untrained negative
## 13162 13162 untrue negative
## 13163 13163 untrustworthy anger
## 13164 13164 untrustworthy negative
## 13165 13165 unverified anticipation
## 13166 13166 unwarranted negative
## 13167 13167 unwashed disgust
## 13168 13168 unwashed negative
## 13169 13169 unwavering positive
## 13170 13170 unwavering trust
## 13171 13171 unwelcome negative
## 13172 13172 unwelcome sadness
## 13173 13173 unwell negative
## 13174 13174 unwell sadness
## 13175 13175 unwillingness negative
## 13176 13176 unwise negative
## 13177 13177 unwitting negative
## 13178 13178 unworthy disgust
## 13179 13179 unworthy negative
## 13180 13180 unyielding negative
## 13181 13181 upheaval anger
## 13182 13182 upheaval fear
## 13183 13183 upheaval negative
## 13184 13184 upheaval sadness
## 13185 13185 uphill anticipation
## 13186 13186 uphill fear
## 13187 13187 uphill negative
## 13188 13188 uphill positive
## 13189 13189 uplift anticipation
## 13190 13190 uplift joy
## 13191 13191 uplift positive
## 13192 13192 uplift trust
## 13193 13193 upright positive
## 13194 13194 upright trust
## 13195 13195 uprising anger
## 13196 13196 uprising anticipation
## 13197 13197 uprising fear
## 13198 13198 uprising negative
## 13199 13199 uproar negative
## 13200 13200 upset anger
## 13201 13201 upset negative
## 13202 13202 upset sadness
## 13203 13203 urchin negative
## 13204 13204 urgency anticipation
## 13205 13205 urgency fear
## 13206 13206 urgency surprise
## 13207 13207 urgent anticipation
## 13208 13208 urgent fear
## 13209 13209 urgent negative
## 13210 13210 urgent surprise
## 13211 13211 urn sadness
## 13212 13212 usefulness positive
## 13213 13213 useless negative
## 13214 13214 usher positive
## 13215 13215 usher trust
## 13216 13216 usual positive
## 13217 13217 usual trust
## 13218 13218 usurp anger
## 13219 13219 usurp negative
## 13220 13220 usurped anger
## 13221 13221 usurped fear
## 13222 13222 usurped negative
## 13223 13223 usury negative
## 13224 13224 utility positive
## 13225 13225 utopian anticipation
## 13226 13226 utopian joy
## 13227 13227 utopian positive
## 13228 13228 utopian trust
## 13229 13229 vacancy negative
## 13230 13230 vacation anticipation
## 13231 13231 vacation joy
## 13232 13232 vacation positive
## 13233 13233 vaccine positive
## 13234 13234 vacuous disgust
## 13235 13235 vacuous negative
## 13236 13236 vague negative
## 13237 13237 vagueness negative
## 13238 13238 vainly disgust
## 13239 13239 vainly negative
## 13240 13240 vainly sadness
## 13241 13241 valiant positive
## 13242 13242 validity fear
## 13243 13243 valor positive
## 13244 13244 valor trust
## 13245 13245 valuable positive
## 13246 13246 vampire anger
## 13247 13247 vampire disgust
## 13248 13248 vampire fear
## 13249 13249 vampire negative
## 13250 13250 vanguard positive
## 13251 13251 vanish surprise
## 13252 13252 vanished fear
## 13253 13253 vanished negative
## 13254 13254 vanished sadness
## 13255 13255 vanished surprise
## 13256 13256 vanity negative
## 13257 13257 vanquish positive
## 13258 13258 variable surprise
## 13259 13259 varicella disgust
## 13260 13260 varicella fear
## 13261 13261 varicella negative
## 13262 13262 varicella sadness
## 13263 13263 varicose negative
## 13264 13264 veal sadness
## 13265 13265 veal trust
## 13266 13266 veer fear
## 13267 13267 veer surprise
## 13268 13268 vegetative disgust
## 13269 13269 vegetative negative
## 13270 13270 vegetative sadness
## 13271 13271 vehement anger
## 13272 13272 vehement fear
## 13273 13273 vehement negative
## 13274 13274 velvet positive
## 13275 13275 velvety positive
## 13276 13276 vendetta anger
## 13277 13277 vendetta fear
## 13278 13278 vendetta negative
## 13279 13279 vendetta sadness
## 13280 13280 venerable anticipation
## 13281 13281 venerable joy
## 13282 13282 venerable positive
## 13283 13283 venerable trust
## 13284 13284 veneration positive
## 13285 13285 vengeance anger
## 13286 13286 vengeance negative
## 13287 13287 vengeful anger
## 13288 13288 vengeful fear
## 13289 13289 vengeful negative
## 13290 13290 venom anger
## 13291 13291 venom disgust
## 13292 13292 venom fear
## 13293 13293 venom negative
## 13294 13294 venomous anger
## 13295 13295 venomous disgust
## 13296 13296 venomous fear
## 13297 13297 venomous negative
## 13298 13298 vent anger
## 13299 13299 veracity anticipation
## 13300 13300 veracity joy
## 13301 13301 veracity positive
## 13302 13302 veracity surprise
## 13303 13303 veracity trust
## 13304 13304 verbosity negative
## 13305 13305 verdant positive
## 13306 13306 verdict fear
## 13307 13307 verge anticipation
## 13308 13308 verge fear
## 13309 13309 verge negative
## 13310 13310 verification positive
## 13311 13311 verification trust
## 13312 13312 verified positive
## 13313 13313 verified trust
## 13314 13314 verily positive
## 13315 13315 verily trust
## 13316 13316 veritable positive
## 13317 13317 vermin anger
## 13318 13318 vermin disgust
## 13319 13319 vermin fear
## 13320 13320 vermin negative
## 13321 13321 vernal joy
## 13322 13322 vernal positive
## 13323 13323 versus anger
## 13324 13324 versus negative
## 13325 13325 vertigo fear
## 13326 13326 vertigo negative
## 13327 13327 verve positive
## 13328 13328 vesicular disgust
## 13329 13329 veteran positive
## 13330 13330 veteran trust
## 13331 13331 veto anger
## 13332 13332 veto negative
## 13333 13333 vicar positive
## 13334 13334 vicar trust
## 13335 13335 vice negative
## 13336 13336 vicious anger
## 13337 13337 vicious disgust
## 13338 13338 vicious negative
## 13339 13339 victim anger
## 13340 13340 victim fear
## 13341 13341 victim negative
## 13342 13342 victim sadness
## 13343 13343 victimized anger
## 13344 13344 victimized disgust
## 13345 13345 victimized fear
## 13346 13346 victimized negative
## 13347 13347 victimized sadness
## 13348 13348 victimized surprise
## 13349 13349 victor joy
## 13350 13350 victor positive
## 13351 13351 victorious joy
## 13352 13352 victorious positive
## 13353 13353 victory anticipation
## 13354 13354 victory joy
## 13355 13355 victory positive
## 13356 13356 victory trust
## 13357 13357 vigil anticipation
## 13358 13358 vigilance anticipation
## 13359 13359 vigilance positive
## 13360 13360 vigilance trust
## 13361 13361 vigilant fear
## 13362 13362 vigilant positive
## 13363 13363 vigilant trust
## 13364 13364 vigor positive
## 13365 13365 vigorous positive
## 13366 13366 vigorous trust
## 13367 13367 villager positive
## 13368 13368 villager trust
## 13369 13369 villain fear
## 13370 13370 villain negative
## 13371 13371 villainous anger
## 13372 13372 villainous disgust
## 13373 13373 villainous fear
## 13374 13374 villainous negative
## 13375 13375 vindicate anger
## 13376 13376 vindicated positive
## 13377 13377 vindication anticipation
## 13378 13378 vindication joy
## 13379 13379 vindication positive
## 13380 13380 vindication trust
## 13381 13381 vindictive anger
## 13382 13382 vindictive disgust
## 13383 13383 vindictive negative
## 13384 13384 violation anger
## 13385 13385 violation fear
## 13386 13386 violation negative
## 13387 13387 violation sadness
## 13388 13388 violation surprise
## 13389 13389 violence anger
## 13390 13390 violence fear
## 13391 13391 violence negative
## 13392 13392 violence sadness
## 13393 13393 violent anger
## 13394 13394 violent disgust
## 13395 13395 violent fear
## 13396 13396 violent negative
## 13397 13397 violent surprise
## 13398 13398 violently anger
## 13399 13399 violently disgust
## 13400 13400 violently fear
## 13401 13401 violently negative
## 13402 13402 violently sadness
## 13403 13403 viper fear
## 13404 13404 viper negative
## 13405 13405 virgin positive
## 13406 13406 virgin trust
## 13407 13407 virginity anticipation
## 13408 13408 virginity positive
## 13409 13409 virtue positive
## 13410 13410 virtue trust
## 13411 13411 virtuous joy
## 13412 13412 virtuous positive
## 13413 13413 virtuous trust
## 13414 13414 virulence anger
## 13415 13415 virulence fear
## 13416 13416 virulence negative
## 13417 13417 virus negative
## 13418 13418 vision anticipation
## 13419 13419 vision positive
## 13420 13420 visionary anticipation
## 13421 13421 visionary joy
## 13422 13422 visionary positive
## 13423 13423 visionary trust
## 13424 13424 visit positive
## 13425 13425 visitation negative
## 13426 13426 visitor anticipation
## 13427 13427 visitor joy
## 13428 13428 visitor positive
## 13429 13429 visor anticipation
## 13430 13430 visor surprise
## 13431 13431 vital positive
## 13432 13432 vitality joy
## 13433 13433 vitality positive
## 13434 13434 vitality trust
## 13435 13435 vivacious joy
## 13436 13436 vivacious positive
## 13437 13437 vivid joy
## 13438 13438 vivid positive
## 13439 13439 vixen negative
## 13440 13440 vocabulary positive
## 13441 13441 volatility anger
## 13442 13442 volatility anticipation
## 13443 13443 volatility fear
## 13444 13444 volatility negative
## 13445 13445 volatility surprise
## 13446 13446 volcano fear
## 13447 13447 volcano negative
## 13448 13448 volcano surprise
## 13449 13449 volunteer anticipation
## 13450 13450 volunteer fear
## 13451 13451 volunteer joy
## 13452 13452 volunteer positive
## 13453 13453 volunteer trust
## 13454 13454 volunteers trust
## 13455 13455 voluptuous anticipation
## 13456 13456 voluptuous joy
## 13457 13457 voluptuous positive
## 13458 13458 vomit disgust
## 13459 13459 vomiting negative
## 13460 13460 voodoo negative
## 13461 13461 vote anger
## 13462 13462 vote anticipation
## 13463 13463 vote joy
## 13464 13464 vote negative
## 13465 13465 vote positive
## 13466 13466 vote sadness
## 13467 13467 vote surprise
## 13468 13468 vote trust
## 13469 13469 votive trust
## 13470 13470 vouch positive
## 13471 13471 vouch trust
## 13472 13472 voucher trust
## 13473 13473 vow anticipation
## 13474 13474 vow joy
## 13475 13475 vow positive
## 13476 13476 vow trust
## 13477 13477 voyage anticipation
## 13478 13478 vulgar disgust
## 13479 13479 vulgar negative
## 13480 13480 vulgarity anger
## 13481 13481 vulgarity disgust
## 13482 13482 vulgarity negative
## 13483 13483 vulgarity sadness
## 13484 13484 vulnerability fear
## 13485 13485 vulnerability negative
## 13486 13486 vulnerability sadness
## 13487 13487 vulture disgust
## 13488 13488 vulture fear
## 13489 13489 vulture negative
## 13490 13490 waffle anger
## 13491 13491 waffle negative
## 13492 13492 waffle sadness
## 13493 13493 wages joy
## 13494 13494 wages positive
## 13495 13495 wail fear
## 13496 13496 wail negative
## 13497 13497 wail sadness
## 13498 13498 wait anticipation
## 13499 13499 wait negative
## 13500 13500 wallow disgust
## 13501 13501 wallow negative
## 13502 13502 wallow sadness
## 13503 13503 wan fear
## 13504 13504 wan negative
## 13505 13505 wan sadness
## 13506 13506 wane negative
## 13507 13507 wane sadness
## 13508 13508 wanting negative
## 13509 13509 wanting sadness
## 13510 13510 war fear
## 13511 13511 war negative
## 13512 13512 warden anger
## 13513 13513 warden fear
## 13514 13514 warden negative
## 13515 13515 warden trust
## 13516 13516 ware fear
## 13517 13517 ware negative
## 13518 13518 warfare anger
## 13519 13519 warfare fear
## 13520 13520 warfare negative
## 13521 13521 warfare sadness
## 13522 13522 warlike anger
## 13523 13523 warlike fear
## 13524 13524 warlike negative
## 13525 13525 warlock fear
## 13526 13526 warn anticipation
## 13527 13527 warn fear
## 13528 13528 warn negative
## 13529 13529 warn surprise
## 13530 13530 warn trust
## 13531 13531 warned anticipation
## 13532 13532 warned fear
## 13533 13533 warned surprise
## 13534 13534 warning fear
## 13535 13535 warp anger
## 13536 13536 warp negative
## 13537 13537 warp sadness
## 13538 13538 warped negative
## 13539 13539 warranty positive
## 13540 13540 warranty trust
## 13541 13541 warrior anger
## 13542 13542 warrior fear
## 13543 13543 warrior positive
## 13544 13544 wart disgust
## 13545 13545 wart negative
## 13546 13546 wary fear
## 13547 13547 waste disgust
## 13548 13548 waste negative
## 13549 13549 wasted anger
## 13550 13550 wasted disgust
## 13551 13551 wasted negative
## 13552 13552 wasteful anger
## 13553 13553 wasteful disgust
## 13554 13554 wasteful negative
## 13555 13555 wasteful sadness
## 13556 13556 wasting disgust
## 13557 13557 wasting fear
## 13558 13558 wasting negative
## 13559 13559 wasting sadness
## 13560 13560 watch anticipation
## 13561 13561 watch fear
## 13562 13562 watchdog positive
## 13563 13563 watchdog trust
## 13564 13564 watchful positive
## 13565 13565 watchful trust
## 13566 13566 watchman positive
## 13567 13567 watchman trust
## 13568 13568 waterproof positive
## 13569 13569 watery negative
## 13570 13570 waver fear
## 13571 13571 waver negative
## 13572 13572 weakened negative
## 13573 13573 weakly fear
## 13574 13574 weakly negative
## 13575 13575 weakly sadness
## 13576 13576 weakness negative
## 13577 13577 wealth joy
## 13578 13578 wealth positive
## 13579 13579 wealth trust
## 13580 13580 wear negative
## 13581 13581 wear trust
## 13582 13582 wearily negative
## 13583 13583 wearily sadness
## 13584 13584 weariness negative
## 13585 13585 weariness sadness
## 13586 13586 weary negative
## 13587 13587 weary sadness
## 13588 13588 weatherproof positive
## 13589 13589 weeds negative
## 13590 13590 weeds sadness
## 13591 13591 weep negative
## 13592 13592 weep sadness
## 13593 13593 weeping sadness
## 13594 13594 weigh anticipation
## 13595 13595 weigh trust
## 13596 13596 weight anticipation
## 13597 13597 weight disgust
## 13598 13598 weight fear
## 13599 13599 weight joy
## 13600 13600 weight negative
## 13601 13601 weight positive
## 13602 13602 weight sadness
## 13603 13603 weight surprise
## 13604 13604 weight trust
## 13605 13605 weighty fear
## 13606 13606 weird disgust
## 13607 13607 weird negative
## 13608 13608 weirdo fear
## 13609 13609 weirdo negative
## 13610 13610 welcomed joy
## 13611 13611 welcomed positive
## 13612 13612 wen negative
## 13613 13613 wench anger
## 13614 13614 wench disgust
## 13615 13615 wench negative
## 13616 13616 whack negative
## 13617 13617 whim anticipation
## 13618 13618 whim joy
## 13619 13619 whim negative
## 13620 13620 whim surprise
## 13621 13621 whimper fear
## 13622 13622 whimper sadness
## 13623 13623 whimsical joy
## 13624 13624 whine disgust
## 13625 13625 whine negative
## 13626 13626 whine sadness
## 13627 13627 whip anger
## 13628 13628 whip negative
## 13629 13629 whirlpool fear
## 13630 13630 whirlwind fear
## 13631 13631 whirlwind negative
## 13632 13632 whisky negative
## 13633 13633 whiteness joy
## 13634 13634 whiteness positive
## 13635 13635 wholesome positive
## 13636 13636 wholesome trust
## 13637 13637 whore disgust
## 13638 13638 whore negative
## 13639 13639 wicked fear
## 13640 13640 wicked negative
## 13641 13641 wickedness disgust
## 13642 13642 wickedness negative
## 13643 13643 wicket positive
## 13644 13644 widespread positive
## 13645 13645 widow sadness
## 13646 13646 widower sadness
## 13647 13647 wild negative
## 13648 13648 wild surprise
## 13649 13649 wildcat negative
## 13650 13650 wilderness anticipation
## 13651 13651 wilderness fear
## 13652 13652 wilderness sadness
## 13653 13653 wildfire fear
## 13654 13654 wildfire negative
## 13655 13655 wildfire sadness
## 13656 13656 wildfire surprise
## 13657 13657 willful anger
## 13658 13658 willful negative
## 13659 13659 willful sadness
## 13660 13660 willingly positive
## 13661 13661 willingness positive
## 13662 13662 wimp disgust
## 13663 13663 wimp fear
## 13664 13664 wimp negative
## 13665 13665 wimpy anger
## 13666 13666 wimpy disgust
## 13667 13667 wimpy fear
## 13668 13668 wimpy negative
## 13669 13669 wimpy sadness
## 13670 13670 wince anger
## 13671 13671 wince disgust
## 13672 13672 wince fear
## 13673 13673 wince negative
## 13674 13674 wince sadness
## 13675 13675 windfall positive
## 13676 13676 winner anticipation
## 13677 13677 winner joy
## 13678 13678 winner positive
## 13679 13679 winner surprise
## 13680 13680 winning anticipation
## 13681 13681 winning disgust
## 13682 13682 winning joy
## 13683 13683 winning positive
## 13684 13684 winning sadness
## 13685 13685 winning surprise
## 13686 13686 winning trust
## 13687 13687 winnings anticipation
## 13688 13688 winnings joy
## 13689 13689 winnings positive
## 13690 13690 wireless anger
## 13691 13691 wireless anticipation
## 13692 13692 wireless positive
## 13693 13693 wireless surprise
## 13694 13694 wis positive
## 13695 13695 wisdom positive
## 13696 13696 wisdom trust
## 13697 13697 wise positive
## 13698 13698 wishful anticipation
## 13699 13699 wit positive
## 13700 13700 witch anger
## 13701 13701 witch disgust
## 13702 13702 witch fear
## 13703 13703 witch negative
## 13704 13704 witchcraft anger
## 13705 13705 witchcraft fear
## 13706 13706 witchcraft negative
## 13707 13707 witchcraft sadness
## 13708 13708 withdraw negative
## 13709 13709 withdraw sadness
## 13710 13710 wither negative
## 13711 13711 wither sadness
## 13712 13712 withered disgust
## 13713 13713 withered negative
## 13714 13714 withstand anticipation
## 13715 13715 withstand fear
## 13716 13716 withstand positive
## 13717 13717 witness trust
## 13718 13718 wits positive
## 13719 13719 witty joy
## 13720 13720 witty positive
## 13721 13721 wizard anticipation
## 13722 13722 wizard positive
## 13723 13723 wizard surprise
## 13724 13724 woe disgust
## 13725 13725 woe fear
## 13726 13726 woe negative
## 13727 13727 woe sadness
## 13728 13728 woeful negative
## 13729 13729 woeful sadness
## 13730 13730 woefully disgust
## 13731 13731 woefully negative
## 13732 13732 woefully sadness
## 13733 13733 womb positive
## 13734 13734 wonderful joy
## 13735 13735 wonderful positive
## 13736 13736 wonderful surprise
## 13737 13737 wonderful trust
## 13738 13738 wonderfully joy
## 13739 13739 wonderfully positive
## 13740 13740 wonderfully surprise
## 13741 13741 wondrous positive
## 13742 13742 wont anticipation
## 13743 13743 wop anger
## 13744 13744 word positive
## 13745 13745 word trust
## 13746 13746 words anger
## 13747 13747 words negative
## 13748 13748 working positive
## 13749 13749 worm anticipation
## 13750 13750 worm negative
## 13751 13751 worm surprise
## 13752 13752 worn negative
## 13753 13753 worn sadness
## 13754 13754 worried negative
## 13755 13755 worried sadness
## 13756 13756 worry anticipation
## 13757 13757 worry fear
## 13758 13758 worry negative
## 13759 13759 worry sadness
## 13760 13760 worrying anticipation
## 13761 13761 worrying fear
## 13762 13762 worrying negative
## 13763 13763 worrying sadness
## 13764 13764 worse fear
## 13765 13765 worse negative
## 13766 13766 worse sadness
## 13767 13767 worsening disgust
## 13768 13768 worsening negative
## 13769 13769 worsening sadness
## 13770 13770 worship anticipation
## 13771 13771 worship fear
## 13772 13772 worship joy
## 13773 13773 worship positive
## 13774 13774 worship trust
## 13775 13775 worth positive
## 13776 13776 worthless anger
## 13777 13777 worthless disgust
## 13778 13778 worthless negative
## 13779 13779 worthless sadness
## 13780 13780 worthy positive
## 13781 13781 worthy trust
## 13782 13782 wot positive
## 13783 13783 wot trust
## 13784 13784 wound anger
## 13785 13785 wound fear
## 13786 13786 wound negative
## 13787 13787 wound sadness
## 13788 13788 wrangling anger
## 13789 13789 wrangling disgust
## 13790 13790 wrangling fear
## 13791 13791 wrangling negative
## 13792 13792 wrangling sadness
## 13793 13793 wrath anger
## 13794 13794 wrath fear
## 13795 13795 wrath negative
## 13796 13796 wreak anger
## 13797 13797 wreak negative
## 13798 13798 wreck anger
## 13799 13799 wreck disgust
## 13800 13800 wreck fear
## 13801 13801 wreck negative
## 13802 13802 wreck sadness
## 13803 13803 wreck surprise
## 13804 13804 wrecked anger
## 13805 13805 wrecked fear
## 13806 13806 wrecked negative
## 13807 13807 wrecked sadness
## 13808 13808 wrench negative
## 13809 13809 wrestling negative
## 13810 13810 wretch anger
## 13811 13811 wretch disgust
## 13812 13812 wretch negative
## 13813 13813 wretch sadness
## 13814 13814 wretched disgust
## 13815 13815 wretched negative
## 13816 13816 wretched sadness
## 13817 13817 wring anger
## 13818 13818 wrinkled sadness
## 13819 13819 writer positive
## 13820 13820 wrong negative
## 13821 13821 wrongdoing anger
## 13822 13822 wrongdoing disgust
## 13823 13823 wrongdoing negative
## 13824 13824 wrongdoing sadness
## 13825 13825 wrongful anger
## 13826 13826 wrongful disgust
## 13827 13827 wrongful negative
## 13828 13828 wrongful sadness
## 13829 13829 wrongly anger
## 13830 13830 wrongly fear
## 13831 13831 wrongly negative
## 13832 13832 wrongly sadness
## 13833 13833 wrought negative
## 13834 13834 wry negative
## 13835 13835 xenophobia fear
## 13836 13836 xenophobia negative
## 13837 13837 yawn negative
## 13838 13838 yawning negative
## 13839 13839 yearning anticipation
## 13840 13840 yearning joy
## 13841 13841 yearning negative
## 13842 13842 yearning positive
## 13843 13843 yearning trust
## 13844 13844 yell anger
## 13845 13845 yell fear
## 13846 13846 yell negative
## 13847 13847 yell surprise
## 13848 13848 yellows negative
## 13849 13849 yelp anger
## 13850 13850 yelp fear
## 13851 13851 yelp negative
## 13852 13852 yelp surprise
## 13853 13853 youth anger
## 13854 13854 youth anticipation
## 13855 13855 youth fear
## 13856 13856 youth joy
## 13857 13857 youth positive
## 13858 13858 youth surprise
## 13859 13859 zany surprise
## 13860 13860 zeal anticipation
## 13861 13861 zeal joy
## 13862 13862 zeal positive
## 13863 13863 zeal surprise
## 13864 13864 zeal trust
## 13865 13865 zealous joy
## 13866 13866 zealous positive
## 13867 13867 zealous trust
## 13868 13868 zest anticipation
## 13869 13869 zest joy
## 13870 13870 zest positive
## 13871 13871 zest trust
## 13872 13872 zip negativeNRC words
library(gutenbergr)
library(dplyr)
library(stringr)
darwin <- gutenberg_download(c(944, 1227, 1228, 2300), mirror = "http://mirror.csclub.uwaterloo.ca/gutenberg/")
tidy_books <- darwin %>%
group_by(gutenberg_id) %>%
dplyr::mutate(linenumber = row_number(), chapter = cumsum(str_detect(text, regex("^chapter [\\divxlc]", ignore_case = TRUE)))) %>%
ungroup() %>%
unnest_tokens(word, text)Adding book name
colnames(tidy_books)[1] <- "book"
tidy_books$book[tidy_books$book == 944] <- "The Voyage of the Beagle"
tidy_books$book[tidy_books$book == 1227] <- "The Expression of the Emotions in Man and Animals"
tidy_books$book[tidy_books$book == 1228] <- "On the Origin of Species By Means of Natural Selection"
tidy_books$book[tidy_books$book == 2300] <- "The Descent of Man, and Selection in Relation to Sex"
tidy_books## # A tibble: 786,575 × 4
## book linenumber chapter word
## <chr> <int> <int> <chr>
## 1 The Voyage of the Beagle 1 0 the
## 2 The Voyage of the Beagle 1 0 voyage
## 3 The Voyage of the Beagle 1 0 of
## 4 The Voyage of the Beagle 1 0 the
## 5 The Voyage of the Beagle 1 0 beagle
## 6 The Voyage of the Beagle 1 0 by
## 7 The Voyage of the Beagle 2 0 charles
## 8 The Voyage of the Beagle 2 0 darwin
## 9 The Voyage of the Beagle 8 0 about
## 10 The Voyage of the Beagle 8 0 the
## # ℹ 786,565 more rowsNRC for analysis
nrc_joy <- nrc %>%
filter(sentiment == "joy")
tidy_books %>%
filter(book == "The Voyage of the Beagle") %>%
inner_join(nrc_joy) %>%
count(word, sort = TRUE)## Joining with `by = join_by(word)`## # A tibble: 277 × 2
## word n
## <chr> <int>
## 1 found 301
## 2 good 161
## 3 remarkable 114
## 4 green 95
## 5 kind 92
## 6 tree 86
## 7 present 85
## 8 food 78
## 9 beautiful 61
## 10 elevation 60
## # ℹ 267 more rowsexamining sentiment changes
library(tidyr)
Charles_Darwin_sentiment <- tidy_books %>%
inner_join(get_sentiments("bing")) %>%
count(book, index = linenumber, 80, sentiment) %>%
pivot_wider(names_from = sentiment, values_from = n, values_fill = 0) %>%
dplyr::mutate(sentiment = positive - negative)## Joining with `by = join_by(word)`Plotting
library(ggplot2)
ggplot(Charles_Darwin_sentiment, aes(index, sentiment, fill = book)) +
geom_col(show.legend = FALSE) +
facet_wrap(~book, ncol = 2, scales = "free_x")
3 sentiment dictions
library(tidyr)
voyage <- tidy_books %>%
filter(book == "The Voyage of the Beagle")
voyage## # A tibble: 208,118 × 4
## book linenumber chapter word
## <chr> <int> <int> <chr>
## 1 The Voyage of the Beagle 1 0 the
## 2 The Voyage of the Beagle 1 0 voyage
## 3 The Voyage of the Beagle 1 0 of
## 4 The Voyage of the Beagle 1 0 the
## 5 The Voyage of the Beagle 1 0 beagle
## 6 The Voyage of the Beagle 1 0 by
## 7 The Voyage of the Beagle 2 0 charles
## 8 The Voyage of the Beagle 2 0 darwin
## 9 The Voyage of the Beagle 8 0 about
## 10 The Voyage of the Beagle 8 0 the
## # ℹ 208,108 more rowsUsing integer division
affin <- voyage %>%
inner_join(afinn) %>%
group_by(index = linenumber %/% 80) %>%
dplyr::summarize(sentiment = sum(value)) %>%
dplyr::mutate(method = "AFINN")## Joining with `by = join_by(word)`bing_and_nrc <- bind_rows(
voyage %>%
inner_join(get_sentiments("bing")) %>%
dplyr::mutate(method = "Bing et al. "),
voyage %>%
inner_join(nrc) %>%
filter(sentiment %in% c("positive", "negative"))
) %>%
dplyr::mutate(method = "NRC") %>%
count(method, index = linenumber %/% 80, sentiment) %>%
pivot_wider(names_from = sentiment,
values_from = n,
values_fill = 0) %>%
dplyr::mutate(sentiment = positive - negative)## Joining with `by = join_by(word)`
## Joining with `by = join_by(word)`## Warning in inner_join(., nrc): Detected an unexpected many-to-many relationship between `x` and `y`.
## ℹ Row 79 of `x` matches multiple rows in `y`.
## ℹ Row 10386 of `y` matches multiple rows in `x`.
## ℹ If a many-to-many relationship is expected, set `relationship =
## "many-to-many"` to silence this warning.Estimating the net sentiment
bind_rows(affin, bing_and_nrc) %>%
ggplot(aes(index, sentiment, fill = method)) +
geom_col(show.legend = FALSE) +
facet_wrap(~method, ncol = 1, scales = "free_y")
Counts for each dictionary
nrc %>%
filter(sentiment %in% c("positive", "negative")) %>%
count(sentiment)## sentiment n
## 1 negative 3316
## 2 positive 2308get_sentiments("bing") %>%
count(sentiment)## # A tibble: 2 × 2
## sentiment n
## <chr> <int>
## 1 negative 4781
## 2 positive 2005bing_word_counts <- tidy_books %>%
inner_join(get_sentiments("bing")) %>%
count(word, sentiment, sort = TRUE) %>%
ungroup()## Joining with `by = join_by(word)`bing_word_counts## # A tibble: 2,492 × 3
## word sentiment n
## <chr> <chr> <int>
## 1 great positive 1226
## 2 well positive 855
## 3 like positive 813
## 4 good positive 487
## 5 doubt negative 414
## 6 wild negative 317
## 7 respect positive 310
## 8 remarkable positive 295
## 9 important positive 281
## 10 bright positive 258
## # ℹ 2,482 more rowspiping into ggplot
bing_word_counts %>%
group_by(sentiment) %>%
slice_max(n, n = 10) %>%
ungroup() %>%
dplyr::mutate(word = reorder(word, n)) %>%
ggplot(aes(n, word, fill = sentiment)) +
geom_col(show.legend = FALSE) +
facet_wrap(~sentiment, scale = "free_y") +
labs(x = "Contribution to Sentiment", y = NULL)
Finding anomolies
custom_stop_words <- bind_rows(tibble(words = c("wild", "dark", "great", "like"), lexicon = c("custom")), stop_words)
custom_stop_words## # A tibble: 1,153 × 3
## words lexicon word
## <chr> <chr> <chr>
## 1 wild custom <NA>
## 2 dark custom <NA>
## 3 great custom <NA>
## 4 like custom <NA>
## 5 <NA> SMART a
## 6 <NA> SMART a's
## 7 <NA> SMART able
## 8 <NA> SMART about
## 9 <NA> SMART above
## 10 <NA> SMART according
## # ℹ 1,143 more rowswordcloud package
library(wordcloud)##
## Attaching package: 'wordcloud'## The following object is masked from 'package:gplots':
##
## textplottidy_books %>%
anti_join(stop_words) %>%
count(word) %>%
with(wordcloud(word, n, max.words = 100))## Joining with `by = join_by(word)`
Changing matrix sunctions with acast()
library(reshape2)##
## Attaching package: 'reshape2'## The following object is masked from 'package:tigerstats':
##
## tips## The following object is masked from 'package:tidyr':
##
## smithstidy_books %>%
inner_join(get_sentiments("bing")) %>%
count(word, sentiment, sort = TRUE) %>%
acast(word ~ sentiment, value.var = "n", fill = 0) %>%
comparison.cloud(colors = c("gray20", "gray80"), max.words = 100)## Joining with `by = join_by(word)`
Units beyond words
bingnegative <- get_sentiments("bing") %>%
filter(sentiment == "negative")
wordcounts <- tidy_books %>%
group_by(book, chapter) %>%
dplyr::summarize(words = n())## `summarise()` has grouped output by 'book'. You can override using the
## `.groups` argument.tidy_books %>%
semi_join(bingnegative) %>%
group_by(book, chapter) %>%
dplyr::summarize(negativewords = n()) %>%
left_join(wordcounts, by = c("book", "chapter")) %>%
dplyr::mutate(ratio = negativewords/words) %>%
filter(chapter !=0) %>%
slice_max(ratio, n = 1) %>%
ungroup()## Joining with `by = join_by(word)`
## `summarise()` has grouped output by 'book'. You can override using the
## `.groups` argument.## # A tibble: 4 × 5
## book chapter negativewords words ratio
## <chr> <int> <int> <int> <dbl>
## 1 On the Origin of Species By Means of Natur… 3 5 86 0.0581
## 2 The Descent of Man, and Selection in Relat… 20 4 87 0.0460
## 3 The Expression of the Emotions in Man and … 10 249 4220 0.0590
## 4 The Voyage of the Beagle 10 375 11202 0.0335Inverse frequency words
These decrease weight fr common words and decreases for uncommon words
library(dplyr)
library(tidytext)
book_words <- gutenberg_download(c(944, 1227, 1228, 2300), mirror = "http://mirror.csclub.uwaterloo.ca/gutenberg/")
colnames(book_words)[1] <- "book"
book_words$book[book_words$book == 944] <- "The voyage of the eagle"
book_words$book[book_words$book == 1227] <- "the expression of emotions in man and animals"
book_words$book[book_words$book == 1228] <- "on the origin of species by means of natural selection"
book_words$book[book_words$book == 2300] <- "the descent of man, and selection in relation to sex"book_words <- book_words %>%
unnest_tokens(word, text) %>%
count(book, word, sort = TRUE)
book_words## # A tibble: 43,024 × 3
## book word n
## <chr> <chr> <int>
## 1 the descent of man, and selection in relation to sex the 25490
## 2 The voyage of the eagle the 16930
## 3 the descent of man, and selection in relation to sex of 16762
## 4 on the origin of species by means of natural selection the 10301
## 5 The voyage of the eagle of 9438
## 6 the descent of man, and selection in relation to sex in 8882
## 7 the expression of emotions in man and animals the 8045
## 8 on the origin of species by means of natural selection of 7864
## 9 the descent of man, and selection in relation to sex and 7854
## 10 the descent of man, and selection in relation to sex to 5901
## # ℹ 43,014 more rowsbook_words$n <- as.numeric(book_words$n)
total_words <- book_words %>%
group_by(book) %>%
dplyr::summarize(total = sum(n))
book_words## # A tibble: 43,024 × 3
## book word n
## <chr> <chr> <dbl>
## 1 the descent of man, and selection in relation to sex the 25490
## 2 The voyage of the eagle the 16930
## 3 the descent of man, and selection in relation to sex of 16762
## 4 on the origin of species by means of natural selection the 10301
## 5 The voyage of the eagle of 9438
## 6 the descent of man, and selection in relation to sex in 8882
## 7 the expression of emotions in man and animals the 8045
## 8 on the origin of species by means of natural selection of 7864
## 9 the descent of man, and selection in relation to sex and 7854
## 10 the descent of man, and selection in relation to sex to 5901
## # ℹ 43,014 more rowsbook_words <- cross_join(book_words, total_words)
book_words## # A tibble: 172,096 × 5
## book.x word n book.y total
## <chr> <chr> <dbl> <chr> <dbl>
## 1 the descent of man, and selection in relation to s… the 25490 The v… 208118
## 2 the descent of man, and selection in relation to s… the 25490 on th… 157002
## 3 the descent of man, and selection in relation to s… the 25490 the d… 311041
## 4 the descent of man, and selection in relation to s… the 25490 the e… 110414
## 5 The voyage of the eagle the 16930 The v… 208118
## 6 The voyage of the eagle the 16930 on th… 157002
## 7 The voyage of the eagle the 16930 the d… 311041
## 8 The voyage of the eagle the 16930 the e… 110414
## 9 the descent of man, and selection in relation to s… of 16762 The v… 208118
## 10 the descent of man, and selection in relation to s… of 16762 on th… 157002
## # ℹ 172,086 more rowsCommon words used
library(ggplot2)
ggplot(book_words, aes(n/total, fill = book.y)) +
geom_histogram(show.legend = FALSE) +
xlim(NA, 0.0009) +
facet_wrap(~book.y, ncol = 2, scales = "free_y")## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 2399 rows containing non-finite values (`stat_bin()`).## Warning: Removed 4 rows containing missing values (`geom_bar()`).
Zipf’s law
frequency of a word appearing is inverse to its rank of prediction for topics
freq_by_rank <- book_words %>%
group_by(book.y) %>%
dplyr::mutate(rank = row_number(),
`term frequency` = n/total) %>%
ungroup()
freq_by_rank## # A tibble: 172,096 × 7
## book.x word n book.y total rank `term frequency`
## <chr> <chr> <dbl> <chr> <dbl> <int> <dbl>
## 1 the descent of man, and sel… the 25490 The v… 208118 1 0.122
## 2 the descent of man, and sel… the 25490 on th… 157002 1 0.162
## 3 the descent of man, and sel… the 25490 the d… 311041 1 0.0820
## 4 the descent of man, and sel… the 25490 the e… 110414 1 0.231
## 5 The voyage of the eagle the 16930 The v… 208118 2 0.0813
## 6 The voyage of the eagle the 16930 on th… 157002 2 0.108
## 7 The voyage of the eagle the 16930 the d… 311041 2 0.0544
## 8 The voyage of the eagle the 16930 the e… 110414 2 0.153
## 9 the descent of man, and sel… of 16762 The v… 208118 3 0.0805
## 10 the descent of man, and sel… of 16762 on th… 157002 3 0.107
## # ℹ 172,086 more rowsfreq_by_rank %>%
ggplot(aes(rank, `term frequency`, color = book.y)) +
geom_line(size = 1.1, alpha = 0.8, show.legend = FALSE) +
scale_x_log10() +
scale_y_log10()
Using IDf to find specific words we are looking for
book_tf_idf <- book_words %>%
bind_tf_idf(word, book.y, n)## Warning: A value for tf_idf is negative:
## Input should have exactly one row per document-term combination.book_tf_idf## # A tibble: 172,096 × 8
## book.x word n book.y total tf idf tf_idf
## <chr> <chr> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 the descent of man, and selec… the 25490 The v… 208118 0.0324 -1.39 -0.0449
## 2 the descent of man, and selec… the 25490 on th… 157002 0.0324 -1.39 -0.0449
## 3 the descent of man, and selec… the 25490 the d… 311041 0.0324 -1.39 -0.0449
## 4 the descent of man, and selec… the 25490 the e… 110414 0.0324 -1.39 -0.0449
## 5 The voyage of the eagle the 16930 The v… 208118 0.0215 -1.39 -0.0298
## 6 The voyage of the eagle the 16930 on th… 157002 0.0215 -1.39 -0.0298
## 7 The voyage of the eagle the 16930 the d… 311041 0.0215 -1.39 -0.0298
## 8 The voyage of the eagle the 16930 the e… 110414 0.0215 -1.39 -0.0298
## 9 the descent of man, and selec… of 16762 The v… 208118 0.0213 -1.39 -0.0295
## 10 the descent of man, and selec… of 16762 on th… 157002 0.0213 -1.39 -0.0295
## # ℹ 172,086 more rowstf_idf in darwin’s works
book_tf_idf %>%
select(-total) %>%
arrange(desc(tf_idf))## # A tibble: 172,096 × 7
## book.x word n book.y tf idf tf_idf
## <chr> <chr> <dbl> <chr> <dbl> <dbl> <dbl>
## 1 the descent of man, and selection in… shewn 143 The v… 1.82e-4 0 0
## 2 the descent of man, and selection in… shewn 143 on th… 1.82e-4 0 0
## 3 the descent of man, and selection in… shewn 143 the d… 1.82e-4 0 0
## 4 the descent of man, and selection in… shewn 143 the e… 1.82e-4 0 0
## 5 the expression of emotions in man an… tears 126 The v… 1.60e-4 0 0
## 6 the expression of emotions in man an… tears 126 on th… 1.60e-4 0 0
## 7 the expression of emotions in man an… tears 126 the d… 1.60e-4 0 0
## 8 the expression of emotions in man an… tears 126 the e… 1.60e-4 0 0
## 9 The voyage of the eagle degs 117 The v… 1.49e-4 0 0
## 10 The voyage of the eagle degs 117 on th… 1.49e-4 0 0
## # ℹ 172,086 more rowsvisualizing tf_idf words
book_tf_idf %>%
group_by(book.y) %>%
slice_max(tf_idf, n = 15) %>%
ungroup() %>%
ggplot(aes(tf_idf, reorder(word, tf_idf), fill = book.y)) +
geom_col(show.legend = FALSE) +
facet_wrap(~book.y, ncol = 2, scales = "free") +
labs(x = "tf-idf", y = NULL)
Twitter Sentiment
#install.packages('academictwitteR')
#library(academictwitteR)#bearer_token <- "AAAAAAAAAAAAAAAAAAAAAByFhgEAAAAAl4Ql0CyArwygcl0FewUO5ARSaAQ%3DvJpyDIOBKBVdtgnEv7wrpdwoeI5WbQLbxfSYElUGZuWix0kbQm"#tweets20US <-
#get_all_tweets(
# "covid-19 has:geo",
# "2020-06-01T01:00:00Z",
# "2020-06-08T01:00:00Z",
# bearer_token,
# n = 5000,
# country = "US"
#)#tweets21US <-
# get_all_tweets(
# "covid-19 has:geo",
# "2021-06-01T01:00:00Z",
# "2021-06-08T01:00:00Z",
# bearer_token,
# n = 5000,
# country = "US"
# )#tweets22US <-
# get_all_tweets(
# "covid-19 has:geo",
# "2022-06-01T01:00:00Z",
# "2022-06-08T01:00:00Z",
# bearer_token,
# n = 5000,
# country = "US"
# )Loading Canada data
#tweets20CA <- read.csv("tweets20CA.csv", row.names = 1)
#tweets21CA <- read.csv("tweets21CA.csv", row.names = 1)
#tweets22CA <- read.csv("tweets22CA.csv", row.names = 1)Loading US data
#tweets20US <- read.csv("tweets20US.csv", row.names = 1)
#tweets21US <- read.csv("tweets21US.csv", row.names = 1)
#tweets22US <- read.csv("tweets22US.csv", row.names = 1)Loading British data
#tweets20GB <- read.csv("tweets20GB.csv", row.names = 1)
#tweets21GB <- read.csv("tweets21GB.csv", row.names = 1)
#tweets22GB <- read.csv("tweets22GB.csv", row.names = 1)load libraries
#library(lubridate)
#library(ggplot2)
#library(dplyr)
#library(readr)Combining US tweets
#tweetUS <- bind_rows(tweets21US %>%
# dplyr::mutate(year = "y2021"),
# tweets22US %>%
# dplyr::mutate(year = "y2022"),
# tweets20US %>%
# dplyr:: mutate(year = "y2020")) %>%
# dplyr::mutate(timestamp = ymd_hms(created_at))Combining GB tweets
#tweetGB <- bind_rows(tweets21GB %>%
# dplyr::mutate(year = "y2021"),
# tweets22GB %>%
# dplyr::mutate(year = "y2022"),
# tweets20GB %>%
# dplyr::mutate(year = "y2020")) %>%
# dplyr::mutate(timestamp = ymd_hms(created_at))Combining Canada Tweets
#tweetCA <- bind_rows(tweets21CA %>%
# dplyr::mutate(year = "y2021"),
# tweets22CA %>%
# dplyr::mutate(year = "y2022"),
# tweets20CA %>%
# dplyr::mutate(year = "y2020")) %>%
# dplyr::mutate(timestamp = ymd_hms(created_at))Cleaning US tweets
#remove_reg <- "&|<|>"
#tidy_tweetsUS <- tweetsUS %>%
# filter(!str_detect(text, "^RT")) %>%
# dplyr::mutate(text = str_remove_all(text, remove_reg)) %>%
# unnest_tokens(word, text, token = "tweets") %>%
# filter(!word %in% stop_words$word,
# !word %in% str_remove_all(stop_words$word, "'"),
# str_detect(word, "[a-z]"))Cleaning GB tweets
#remove_reg <- "&|<|>"
#tidy_tweetsGB <- tweetsGB %>%
# filter(!str_detect(text, "^RT")) %>%
# dplyr::mutate(text = str_remove_all(text, remove_reg)) %>%
# unnest_tokens(word, text, token = "tweets") %>%
# filter(!word %in% stop_words$word,
# !word %in% str_remove_all(stop_words$word, "'"),
# str_detect(word, "[a-z]"))Cleaning CA tweets
#remove_reg <- "&|<|>"
#tidy_tweetsCA <- tweetsCA %>%
# filter(!str_detect(text, "^RT")) %>%
# dplyr::mutate(text = str_remove_all(text, remove_reg)) %>%
# unnest_tokens(word, text, token = "tweets") %>%
# filter(!word %in% stop_words$word,
# !word %in% str_remove_all(stop_words$word, "'"),
# str_detect(word, "[a-z]"))Looking at data
#ggplot(tweetsUS, aes(x = timestamp, fill = year)) +
# geom_histogram(position = "identity", bins = 20, show.legend = FALSE) +
# facet_wrap(~year, ncol = 1)GB data
#ggplot(tweetsGB, aes(x = timestamp, fill = year)) +
# geom_histogram(position = "identity", bins = 20, show.legend = FALSE) +
# facet_wrap(~year, ncol = 1)Canada data
#ggplot(tweetsCA, aes(x = timestamp, fill = year)) +
# geom_histogram(position = "identity", bins = 20, show.legend = FALSE) +
# facet_wrap(~year, ncol = 1)Looking at word frequencies
#frequencyUS <- tidy_tweetsUS %>%
# count(year, word, sort = TRUE) %>%
# left_join(tidy_tweetsUS %>%
# count(year, name = "total")) %>%
# dplyr::mutate(freq = n/total)
#frequencyUSGB frequencies
#frequencyGB <- tidy_tweetsGB %>%
# count(year, word, sort = TRUE) %>%
# left_join(tidy_tweetsGB %>%
# count(year, name = "total")) %>%
# dplyr::mutate(freq = n/total)
#frequencyGBCA frequencies
#frequencyCA <- tidy_tweetsCA %>%
# count(year, word, sort = TRUE) %>%
# left_join(tidy_tweetsCA %>%
# count(year, name = "total")) %>%
# dplyr::mutate(freq = n/total)
#frequencyCAwords compared to whole for US
#library(tidyr)
#frequencyUS2 <- frequencyUS %>%
# select(year, word, freq) %>%
# pivot_wider(names_from = year, values_from = freq) %>%
# arrange('y2020', 'y2021', 'y2022')
#head(frequencyUS2)words compared to whole for GB
#library(tidyr)
#frequencyGB2 <- frequencyGB %>%
# select(year, word, freq) %>%
# pivot_wider(names_from = year, values_from = freq) %>%
# arrange('y2020', 'y2021', 'y2022')
#head(frequencyGB2)words compared to whole for CA
#library(tidyr)
#frequencyCA2 <- frequencyCA %>%
# select(year, word, freq) %>%
# pivot_wider(names_from = year, values_from = freq) %>%
# arrange('y2020', 'y2021', 'y2022')
#head(frequencyCA2)#ggplot(frequencyUS2, aes(2020, 2022)) +
# geom_jitter(alpha = 0.1, size = 2.5, width = 0.25, height = 0.25) +
# geom_text(aes(label = word), check_overlap = TRUE, vjust = 1,5) +
# scale_x_log10(labels = percent_format()) +
# scale_y_log10(labels = percent_format()) +
# geom_abline(color = "red")#library(dplyr)
#library(stringr)
#nrc_joy <- nrc %>%
# filter(sentiment == "joy")
#tidy_tweetsUS %>%
# filter(year == "y2020") %>%
# inner_join(nrc_joy) %>%
# count(word, sort = TRUE)#nrc_anger <- nrc %>%
# filter(sentiment == "anger")
#tidy_tweetsGB %>%
# filter(year == "y2020") %>%
# inner_join(nrc_joy) %>%
# count(word, sort = TRUE)#nrc_fear <- nrc %>%
# filter(sentiment == "fear")
#tidy_tweetsCA %>%
# filter(year == "y2020") %>%
# inner_join(nrc_joy) %>%
# count(word, sort = TRUE)GB
#GB_Covid_Sentiment <- tidy_tweetsGB %>%
# inner_join(get_sentiments("bing")) %>%
# count(year, index = id %/% 80, sentiment) %>%
# pivot_wider(names_from = sentiment, values_from = n, values_fill = 0) %>%
# dplyr::mutate(sentiment = positive - negative)Sentiment analysis for GB
#library(ggplot2)
#ggplot(GB_Covid_Sentiment, aes(sentiment, fill = year)) +
# geon_histogram(show.legend = FALSE) +
# facet_wrap(~year, ncol = 2, scales = "free_x")Aggregate sentiment score for GB
#GB_Covid_Sentiment_Means <- aggregate(x = GB_Covid_Sentiment$sentiment, by = #list(GB_Covid_Sentiment$year), FUN = mean)
#GB_Covid_Sentiment_MeansUS
#US_Covid_Sentiment <- tidy_tweetsUS %>%
# inner_join(get_sentiments("bing")) %>%
# count(year, index = id %/% 80, sentiment) %>%
# pivot_wider(names_from = sentiment, values_from = n, values_fill = 0) %>%
# dplyr::mutate(sentiment = positive - negative)Sentiment analysis for US
#library(ggplot2)
#ggplot(US_Covid_Sentiment, aes(sentiment, fill = year)) +
# geon_histogram(show.legend = FALSE) +
# facet_wrap(~year, ncol = 2, scales = "free_x")Aggregate sentiment score for US
#US_Covid_Sentiment_Means <- aggregate(x = US_Covid_Sentiment$sentiment, by = #list(US_Covid_Sentiment$year), FUN = mean)
#US_Covid_Sentiment_MeansCA
#CA_Covid_Sentiment <- tidy_tweetsCA %>%
# inner_join(get_sentiments("bing")) %>%
# count(year, index = id %/% 80, sentiment) %>%
# pivot_wider(names_from = sentiment, values_from = n, values_fill = 0) %>%
# dplyr::mutate(sentiment = positive - negative)Sentiment analysis for CA
#library(ggplot2)
#ggplot(CA_Covid_Sentiment, aes(sentiment, fill = year)) +
# geon_histogram(show.legend = FALSE) +
# facet_wrap(~year, ncol = 2, scales = "free_x")Aggregate sentiment score for CA
#CA_Covid_Sentiment_Means <- aggregate(x = CA_Covid_Sentiment$sentiment, by = #list(CA_Covid_Sentiment$year), FUN = mean)
#CA_Covid_Sentiment_Means#bing_word_counts_US <- tidy_tweetsUS %>%
# inner_join(get_sentiments("bing")) %>%
# count(word, sentiment, sort = TRUE) %>%
# ungroup()
#bing_word_counts_US#bing_word_counts_US %>%
# group_by(sentiment) %>%
# slice_max(n, n = 10) %>%
# ungroup() %>%
# dplyr::mutate(word = reorder(word, n)) %>%
# ggplot(aes(n, word, fill = sentiment)) +
# geom_col(show.legend = FALSE) +
# facet_wrap(~sentiment, scales = "free_y") +
# labs(x = "Contribution to sentiment", y = NULL)#custom_stop_words <- bind_rows(tibble(word = c("trunp", "positive"),
# lexicon = c("custom")),
# stop_words)
#custom_stop_words#library(shiny)
#annotation example
#ui <- fluidPage(
# selectInput("dataset", label = "Dataset", choices = ls("package:datasets")),
# verbatimTextOutput("summary"),
# tableOutput("table")
#)
#server <- function(input, output, session) {
# output$summary <- renderPrint({
# dataset <- get(input$dataset, "package:datasets")
# summary(dataset)
# })
#}
#shinyApp(ui, server)
#Shiny Example 1
#library(shiny)
#library(tidyverse)
#library(vroom)
#dir.create("neiss")
#download <- function(name) {
#url <- "https://github.com/hadley/mastering-shiny/tree/5d398fd655775cbcf278dadf46bfc78af2a0cb11/neiss"
#download.file(paste0(url, name), paste0("neiss/", name), quiet = TRUE)
#}
#injuries <- vroom::vroom("neiss/injuries.tsv.gz")
#injuries
#products <- vroom::vroom("neiss/products.tsv")
#products
#population <- vroom::vroom("neiss/population.tsv")
#population
#prod_codes <- setNames(products$prod_code, products$title)
#ui <- fluidPage(
#fluidRow(
# column(6,
# selectInput("code", "Product", choices = prod_codes)
# ),
# fluidRow(
# column(4, tableOutput("diag")),
# column(4, tableOutput("body_part")),
# column(4, tableOutput("location"))
# ),
# fluidRow(
# column(12, plotOutput("age_sex"))
# )
# )
#)
#server <- function(input, output, session) {
# selected <- reactive(injuries %>% filter(prod_code == input$code))
# output$diag <- renderTable(
# selected() %>% count(diag, wt = weight, sort = TRUE)
# )
# output$body_part <- renderTable(
# selected() %>% count(body_part, wt = weight, sort = TRUE)
# )
# output$location <- renderTable(
# selected() %>% count(location, wt = weight, sort = TRUE)
# )
# summary <- reactive({
# selected() %>%
# count(age, sex, wt = weight) %>%
# left_join(population, by = c("age", "sex")) %>%
# mutate(rate = n / population * 1e4)
# })
# output$age_sex <- renderPlot({
# summary() %>%
# geom_line() +
# labs(y = "Estimated Number of Injuries")
# }, res = 96)
#}
#shinyApp(ui, server)
#Shiny example 2
#library(shiny)
#library(tidyverse)
#library(vroom)
#dir.create("neiss")
#download <- function(name) {
#url <- "https://raw.githubusercontent.com/hadley/mastering-shiny/main/neiss/"
#download.file(paste0(url, name), paste0("neiss/", name), quiet = TRUE)
#}
#injuries <- vroom::vroom("neiss/injuries.tsv.gz")
#injuries
#products <- vroom::vroom("neiss/products.tsv")
#products
#population <- vroom::vroom("neiss/population.tsv")
#population
#prod_codes <- setNames(products$prod_code, products$title)
#injuries %>%
# mutate(diag = fct_lump(fct_infreq(diag), n = 5)) %>%
# group_by(diag) %>%
# summarise(n = as.integer(sum(weight)))
#count_top <- function(df, var, n = 5) {
# df %>%
# mutate({{var}} := fct_lump(fct_infreq({{var}}), n = n)) %>%
# group_by({{var}}) %>%
# summarise(n = as.integer(sum(weight)))
#}
#ui <- fluidPage(
# fluidRow(
# column(6,
# selectInput("code", "Product", choices = prod_codes)
# ),
# fluidRow(
# column(4, tableOutput("diag")),
# column(4, tableOutput("body_part")),
# column(4, tableOutput("location"))
# ),
# fluidRow(
# column(12, plotOutput("age_sex"))
# )
# )
#)
#server <- function(input, output, session) {
# selected <- reactive(injuries %>% filter(prod_code == input$code))
# output$diag <- renderTable(count_top(selected(), diag), width = "100%")
# output$body_part <-renderTable(count_top(selected(), body_part), width = "100%")
# output$location <-renderTable(count_top(selected(), location), width = "100%")
# summary <- reactive({
# selected() %>%
# count(age, sex, wt = weight) %>%
# left_join(population, by = c("age", "sex")) %>%
# mutate(rate = n / population * 1e4)
# })
# output$age_sex <- renderPlot({
# summary() %>%
# ggplot(aes(age, n, color = sex)) +
# geom_line() +
# labs(y = "Estimated Number of Injuries")
# }, res = 96)
#}
#shinyApp(ui, server)
#Shiny example 3
#library(shiny)
#library(tidyverse)
#library(vroom)
#dir.create("neiss")
#download <- function(name) {
#url <- "https://raw.githubusercontent.com/hadley/mastering-shiny/main/neiss/"
#download.file(paste0(url, name), paste0("neiss/", name), quiet = TRUE)
#}
#injuries <- vroom::vroom("neiss/injuries.tsv.gz")
#injuries
#products <- vroom::vroom("neiss/products.tsv")
#products
#population <- vroom::vroom("neiss/population.tsv")
#population
#prod_codes <- setNames(products$prod_code, products$title)
#injuries %>%
# mutate(diag = fct_lump(fct_infreq(diag), n = 5)) %>%
# group_by(diag) %>%
# summarise(n = as.integer(sum(weight)))
#count_top <- function(df, var, n = 5) {
# df %>%
# mutate({{var}} := fct_lump(fct_infreq({{var}}), n = n)) %>%
# group_by({{var}}) %>%
# summarise(n = as.integer(sum(weight)))
#}
#ui <- fluidPage(
# fluidRow(
# column(8,
# selectInput("code", "Product",
# setNames(products$prod_code, products$title),
# width = "100%"
# )
# ),
# column(2, selectInput("y", "Y axis", c("rate", "count")))
# ),
# fluidRow(
# column(4, tableOutput("diag")),
# column(4, tableOutput("body_part")),
# column(4, tableOutput("location"))
# ),
# fluidRow(
# column(12, plotOutput("age_sex"))
# )
# )
#server <- function(input, output, session) {
# selected <- reactive(injuries %>% filter(prod_code == input$code))
# output$diag <- renderTable(count_top(selected(), diag), width = "100%")
# output$body_part <-renderTable(count_top(selected(), body_part), width = "100%")
# output$location <-renderTable(count_top(selected(), location), width = "100%")
# summary <- reactive({
# selected() %>%
# count(age, sex, wt = weight) %>%
# left_join(population, by = c("age", "sex")) %>%
# mutate(rate = n / population * 1e4)
# })
# output$age_sex <- renderPlot({
# if (input$y == "count") {
# summary() %>%
# ggplot(aes(age, n, cooler = sex)) +
# geom_line() +
# labs(y = "Estimated number of injuries")
# } else {
# summary() %>%
# ggplot(aes(age, rate, color = sex)) +
# geom_line(na.rm = TRUE) +
# labs(y = "Injuries per 10,000 people")
# }
# }, res = 96)
#}
#shinyApp(ui, server)
#Shiny example 4
#library(shiny)
#library(tidyverse)
#library(vroom)
#dir.create("neiss")
#download <- function(name) {
#url <- "https://raw.githubusercontent.com/hadley/mastering-shiny/main/neiss/"
#download.file(paste0(url, name), paste0("neiss/", name), quiet = TRUE)
#}
#injuries <- vroom::vroom("neiss/injuries.tsv.gz")
#injuries
#products <- vroom::vroom("neiss/products.tsv")
#products
#population <- vroom::vroom("neiss/population.tsv")
#population
#prod_codes <- setNames(products$prod_code, products$title)
#injuries %>%
# mutate(diag = fct_lump(fct_infreq(diag), n = 5)) %>%
# group_by(diag) %>%
# summarise(n = as.integer(sum(weight)))
#count_top <- function(df, var, n = 5) {
# df %>%
# mutate({{var}} := fct_lump(fct_infreq({{var}}), n = n)) %>%
# group_by({{var}}) %>%
# summarise(n = as.integer(sum(weight)))
#}
#ui <- fluidPage(
# fluidRow(
# column(8,
# selectInput("code", "Product",
# setNames(products$prod_code, products$title),
# width = "100%"
# )
# ),
# column(2, selectInput("y", "Y axis", c("rate", "count")))
# ),
# fluidRow(
# column(4, tableOutput("diag")),
# column(4, tableOutput("body_part")),
# column(4, tableOutput("location"))
# ),
# fluidRow(
# column(2, actionButton("story", "Tell me a story")),
# column(10, textOutput("narrative"))
# ),
# fluidRow(
# column(12, plotOutput("age_sex"))
# )
#)
#server <- function(input, output, session) {
# selected <- reactive(injuries %>% filter(prod_code == input$code))
# output$diag <- renderTable(count_top(selected(), diag), width = "100%")
# output$body_part <-renderTable(count_top(selected(), body_part), width = "100%")
# output$location <-renderTable(count_top(selected(), location), width = "100%")
# summary <- reactive({
# selected() %>%
# count(age, sex, wt = weight) %>%
# left_join(population, by = c("age", "sex")) %>%
# mutate(rate = n / population * 1e4)
# })
# output$age_sex <- renderPlot({
# if (input$y == "count") {
# summary() %>%
# ggplot(aes(age, n, cooler = sex)) +
# geom_line() +
# labs(y = "Estimated number of injuries")
# } else {
# summary() %>%
# ggplot(aes(age, rate, color = sex)) +
# geom_line(na.rm = TRUE) +
# labs(y = "Injuries per 10,000 people")
# }
# }, res = 96)
# narrative_sample <- eventReactive(
# list(input$story, selected()),
# selected() %>% pull(narrative) %>% sample(1)
# )
# output$narrative <- renderText(narrative_sample())
#}
#shinyApp(ui, server)
#Sidebars
#ui <- fluidPage(
# titlePanel("Central limit theorum"),
# sidebarLayout(
# sidebarPanel(
# numericInput("m", "number of samples:", 2, min = 1, max = 100)
# ),
# mainPanel(
# plotOutput("hist")
# )
# )
# )
#server <- function(input, output, session) {
# output$hist <- renderPlot({
# means <- replicate(1e4, mean(runif(input$m)))
# hist(means, breaks = 20)
# }, res = 96)
#}
#shinyApp(ui, server )
#Navbars
#ui <- fluidPage(
# navlistPanel(
# id = "tabset",
# "Heading 1",
# tabPanel("panel 1", "Panel one contents"),
# "Heading 2",
# tabPanel("panel 2", "Panel two contents"),
# tabPanel("panel 3", "Panel three contents")
# )
#)
#server <- function(input, output, session) {
# output$panel <- renderText({
# paste("Current panel: ", input$tabset)
# })
#}
#shinyApp(ui, server)
#Thematic
#BiocManager::install("thematic", update = FALSE)
#library(ggplot2)
#library(thematic)
#ui <- fluidPage(
# theme = bslib::bs_theme(bootswatch = "darkly"),
# titlePanel("A themed plot"),
# plotOutput("plot"),
#)
#server <- function(input, output, session) {
# thematic::thematic_shiny()
# output$plot <- renderPlot({
# ggplot(mtcars, aes(wt, mpg)) +
# geom_point() +
# geom_smooth()
# }, res = 96)
#}
#shinyApp(ui, server)
#Multipage
#ggplotex <- "Hello everyone"
#ui <- fluidPage(
# sidebarLayout(
# sidebarPanel(
# textOutput("panel")
# ),
# mainPanel(
# tabsetPanel(
# id = "tabset",
# tabPanel("panel 1", ggplotex),
# tabPanel("panel 3", "three")
# )
# )
# )
#)
#server <- function(input, output, session) {
# output$panel <- renderText({
# paste("Current Panel: ", input$tabset)
# })
#}
#shinyApp(ui, server)
#Nav Dropdown
#ui <- navbarPage(
# "Page title",
# tabPanel("panel1", "one"),
# tabPanel("panel2", "two"),
# tabPanel("panel3", "three"),
# navbarMenu("subpanels",
# tabPanel("panel 4a", "four-a"),
# tabPanel("panel 4c", "four-c"),
# )
#)
#server <- function(input, output, session) {
# output$panel <- renderText({
# paste("Current panel:", input$tabset)
# })
#}
#shinyApp(ui, server)
#Brushing
#library(ggplot2)
#ui <- fluidPage(
# plotOutput("plot", brush = "plot_brush"),
# tableOutput("data")
#)
#server <- function(input, output, session) {
# output$plot <- renderPlot({
# ggplot(mtcars, aes(wt, mpg)) + geom_point()
# }, res = 96)
#output$data <- renderTable({
# brushedPoints(mtcars, input$plot_brush)
#})
#}
#shinyApp(ui, server)
#More Brushing
#library(ggplot2)
#ui <- fluidPage(
# plotOutput("plot", brush = "plot_brush", dblclick = "plot_reset")
#)
#server <- function(input, output, session) {
# selected <- reactiveVal(rep(FALSE, nrow(mtcars)))
# observeEvent(input$plot_brush, {
# brushed <- brushedPoints(mtcars, input$plot_brush, allRows = TRUE)$selected_
# selected(brushed | selected())
# })
# observeEvent(input$plot_reset, {
# selected(rep(FALSE, nrow(mtcars)))
# })
# output$plot <- renderPlot({
# mtcars$sel <- selected()
# ggplot(mtcars, aes(wt, mpg)) +
# geom_point(aes(color = sel)) +
# scale_color_discrete(limits = c("TRUE", "FALSE))"))
# }, res = 96)
#}
#shinyApp(ui, server)
#Shiny responsive graphs
#library(ggplot2)
#ui <- fluidPage(
# selectInput("x", "X Variable", choices = names(iris)),
# selectInput("y", "Y Variable", choices = names(iris)),
# selectInput("geom", "geom", c("point", "smooth", "jitter")),
# plotOutput("plot")
#)
#server <- function(input, output, session) {
# plot_geom <- reactive({
# switch(input$geom,
# point = geom_point(),
# smooth = geom_smooth(se = FALSE),
# jitter = geom_jitter()
# )
# })
# output$plot <- renderPlot({
# ggplot(iris, aes(.data[[input$x]], .data[[input$y]])) +
# plot_geom()
# }, res = 96)
#}
#shinyApp(ui, server)
#Shiny images
#puppies <- tibble::tribble(
# ~breed, ~id, ~author,
# "corgi", "eoqnr8ikwFE", "alvannee",
# "labrador", "KCdYn0xu2fu", "shaneguymon",
# "spaniel", "TzjMd7i5WQI", "_redo_"
#)
#ui <- fluidPage(
# selectInput("id", "Pick a Breed", choices = setNames(puppies$id, puppies$breed)),
# htmlOutput("source"),
# imageOutput("photo")
#)
#server <- function(input, output, session) {
# output$photo <- renderImage({
# list(
# src = file.path("puppy-photots", paste0(input$id, "jpg")),
# concentType = "image/jpeg",
# width = 500,
# height = 650
# )
# }, deleteFile = FALSE)
# output$source <- renderUI({
# info <- puppies[puppies$id, , drop = FALSE]
# HTML(glue::glue("<p>
# <a href='https://unsplash.com/photos/{info$id}'>original</a> by
# <a href='https://unsplash.com/@{info$author}'>{info$author}</a>
# </p>"))
# })
#}
#shinyApp(ui, server)
#Interactive shiny
#ui <- fluidPage(
# plotOutput("plot", click = "plot_click"),
# verbatimTextOutput("info")
#)
#server <- function(input, output) {
# output$plot <- renderPlot({
# plot(mtcars$wt, mtcars$mpg)
# }, res = 96)
# output$info <- renderPrint({
# req(input$plot_click)
# x <- round(input$plot_click$x, 2)
# y <- round(input$plot_click$y, 2)
# cat("[", x, ", ", y , "]", sep = "")
# })
#}
#shinyApp(ui, server)
#Shiny selecting
#library(dplyr)
#setwd("H:Data Products/Shiny/Examples/SelectBoxes")
#install.packages("us_county_sociohealth_data.csv")
#health <- vroom::vroom("us_county_sociohealth_data.csv", col_types = list(), na = "")
#health %>%
# select(state, country, everything()) %>%
# arrange(county)
#ui <- fluidPage(
# selectInput("state", "State", choices = unique(health$state)),
# selectInput("county", "County", choices = NULL),
# tableOutput("data")
#)
#server <- function(input, output, session) {
# state <- reactive({
# filter(health, state == input$state)
# })
# observeEvent(state(), {
# choices <- unique(state()$county)
# updateSelectInput(inputId = "county", choices = choices)
# })
# county <- reactive({
# req(input$county)
# filter(state(), county == input$county)
# })
# output$data <- renderTable({
# req(input$county)
# county() %>%
# filter(county == input$county) %>%
# select(2:9)
# })
#}
#shinyApp(ui, server)