Lab - Twitter sentiment analysis - insights from the hashtag #auntjemima

Analyzing Twitter text data using R

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## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
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##     filter, lag

## The following objects are masked from 'package:base':
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##     intersect, setdiff, setequal, union

## Loading required package: NLP

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## Attaching package: 'igraph'

## The following objects are masked from 'package:dplyr':
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##     as_data_frame, groups, union

## The following objects are masked from 'package:stats':
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##     decompose, spectrum

## The following object is masked from 'package:base':
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##     union

## Loading required package: ggplot2

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## Attaching package: 'ggplot2'

## The following object is masked from 'package:NLP':
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##     annotate

## Loading required package: RColorBrewer

## [1] "Dog" "dog" "cat" ","

## Selecting by n

## # A tibble: 6 × 2
##   word      lexicon
##   <chr>     <chr>  
## 1 a         SMART  
## 2 a's       SMART  
## 3 able      SMART  
## 4 about     SMART  
## 5 above     SMART  
## 6 according SMART

## Joining, by = "word"

## [1] 11192

## Selecting by n

## Warning in tm_map.SimpleCorpus(corpus, tm::removePunctuation): transformation
## drops documents

## Warning in tm_map.SimpleCorpus(corpus, function(x) tm::removeWords(x,
## tm::stopwords())): transformation drops documents