########################## The Capstone Project ################################
###############################################################################
library(tm)
## Loading required package: NLP
library(lda)
library(qdap)
## Loading required package: ggplot2
## 
## Attaching package: 'ggplot2'
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## The following object is masked from 'package:NLP':
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##     annotate
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## Loading required package: qdapDictionaries
## Loading required package: qdapRegex
## Loading required package: qdapTools
## Loading required package: RColorBrewer
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## Attaching package: 'qdap'
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## The following objects are masked from 'package:tm':
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##     as.DocumentTermMatrix, as.TermDocumentMatrix
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## The following object is masked from 'package:base':
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##     Filter
library(RWeka)
library(catdata)
## Loading required package: MASS
library(stringr)
library(stringi)
library(SnowballC)
library(tm.plugin.dc)
## Loading required package: DSL
source('score.R')
options(warn=-1)

#### READ THE DATA ##################
######################################
twr <-  readLines("final/en_US/en_US.twitter.txt")
file.info("final/en_US/en_US.twitter.txt")
##                                    size isdir mode               mtime
## final/en_US/en_US.twitter.txt 167105338 FALSE  644 2014-07-22 11:12:58
##                                             ctime               atime uid
## final/en_US/en_US.twitter.txt 2014-11-09 12:02:44 2014-11-16 16:13:06 501
##                               gid    uname grname
## final/en_US/en_US.twitter.txt  20 ytouhami  staff
head(twr)
## [1] "How are you? Btw thanks for the RT. You gonna be in DC anytime soon? Love to see you. Been way, way too long."  
## [2] "When you meet someone special... you'll know. Your heart will beat more rapidly and you'll smile for no reason."
## [3] "they've decided its more fun if I don't."                                                                       
## [4] "So Tired D; Played Lazer Tag & Ran A LOT D; Ughh Going To Sleep Like In 5 Minutes ;)"                           
## [5] "Words from a complete stranger! Made my birthday even better :)"                                                
## [6] "First Cubs game ever! Wrigley field is gorgeous. This is perfect. Go Cubs Go!"
length(twr)
## [1] 2360148
news <-  readLines("final/en_US/en_US.news.txt")
file.info("final/en_US/en_US.news.txt")
##                                 size isdir mode               mtime
## final/en_US/en_US.news.txt 205811889 FALSE  644 2014-07-22 11:13:04
##                                          ctime               atime uid gid
## final/en_US/en_US.news.txt 2014-11-09 12:01:02 2014-11-16 16:13:35 501  20
##                               uname grname
## final/en_US/en_US.news.txt ytouhami  staff
length(news)
## [1] 1010242
blogs <-  readLines("final/en_US/en_US.blogs.txt")
file.info("final/en_US/en_US.blogs.txt")
##                                  size isdir mode               mtime
## final/en_US/en_US.blogs.txt 210160014 FALSE  644 2014-07-22 11:13:06
##                                           ctime               atime uid
## final/en_US/en_US.blogs.txt 2014-11-09 12:01:02 2014-11-16 16:14:08 501
##                             gid    uname grname
## final/en_US/en_US.blogs.txt  20 ytouhami  staff
length(blogs)
## [1] 899288
#### Summary of Basic Data Tables and Counts ############
########################################################
# inspecting twitter file
twr[1:3]
## [1] "How are you? Btw thanks for the RT. You gonna be in DC anytime soon? Love to see you. Been way, way too long."  
## [2] "When you meet someone special... you'll know. Your heart will beat more rapidly and you'll smile for no reason."
## [3] "they've decided its more fun if I don't."
stri_stats_latex(twr)
##     CharsWord CharsCmdEnvir    CharsWhite         Words          Cmds 
##     125570616          3032      35958481      30451128           963 
##        Envirs 
##             0
# inspecting news file
news[1:3]
## [1] "He wasn't home alone, apparently."                                                                                                                                                
## [2] "The St. Louis plant had to close. It would die of old age. Workers had been making cars there since the onset of mass automotive production in the 1920s."                        
## [3] "WSU's plans quickly became a hot topic on local online sites. Though most people applauded plans for the new biomedical center, many deplored the potential loss of the building."
stri_stats_latex(news)
##     CharsWord CharsCmdEnvir    CharsWhite         Words          Cmds 
##     162227130             2      40263955      34494539             1 
##        Envirs 
##             0
# inspecting blogs file
blogs[1:3]
## [1] "In the years thereafter, most of the Oil fields and platforms were named after pagan “gods”."                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        
## [2] "We love you Mr. Brown."                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              
## [3] "Chad has been awesome with the kids and holding down the fort while I work later than usual! The kids have been busy together playing Skylander on the XBox together, after Kyan cashed in his $$$ from his piggy bank. He wanted that game so bad and used his gift card from his birthday he has been saving and the money to get it (he never taps into that thing either, that is how we know he wanted it so bad). We made him count all of his money to make sure that he had enough! It was very cute to watch his reaction when he realized he did! He also does a very good job of letting Lola feel like she is playing too, by letting her switch out the characters! She loves it almost as much as him."
stri_stats_latex(blogs)
##     CharsWord CharsCmdEnvir    CharsWhite         Words          Cmds 
##     162464653             9      42636700      37570839             3 
##        Envirs 
##             0
#### Some answers to Questions from Quizzes  ###############
############################################################
# Ratio of love-to-hate words in the twiter file
a = scan(file='final/en_US/en_US.twitter.txt',what="list")
a1 = data.frame(lst=a)
length(which(a1 == "love"))/ length(which(a1 == "hate"))
## [1] 4.793427
# Locate the tweet with the word "biostat"
n <- grep(pattern ="biostat", twr) 
twr[n]
## [1] "i know how you feel.. i have biostats on tuesday and i have yet to study =/"
#############  list of profanites to remove #############
profs <-  readLines("prof_google.txt")
length(profs)
## [1] 458
#profs = data.frame(lst=profs)
#clean_twr <- tm_map(twr, removeWords, profs)
stri_stats_latex(profs)
##     CharsWord CharsCmdEnvir    CharsWhite         Words          Cmds 
##          3127           617           125           493            28 
##        Envirs 
##             0
# Histograms and explanatory plot ##################
###################################################
require( ggplot2 )
qplot(twr[1:50])

pos.words <- c('love', 'like', 'nice', 'positive')
neg.words <- c( 'hate', 'dislike', 'mean', 'negative')
file.sco = score(twr[1:50000], pos.words, neg.words, .progress='text')
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## Attaching package: 'plyr'
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hist(file.sco$score)

q <- qplot(file.sco$score)
q <- q + theme_bw()
q
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.