all(test)
test <- NULL
View(c_errors)
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
names(c_errors) <- c("str_id", "code", "tags", "text")
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
status
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
if(c_errcode == "1") {
#cat("Which issue is incorrect?\n")
repeat {
c_tag <- readYN("Which issue is incorrect?: ")
c_tag <- unlist(str_split(c_tag, ";"))
for(i in 1:length(c_tag)) {
if(checkIssue(c_tag[i], c_issueheads)) {status[i] <- TRUE} else {cat("Issue",c_tag[i],"does not exist. Please try again.\n")}
}
if(all(status)) {
break
}
}
if(c_errcode == "1") {
#cat("Which issue is incorrect?\n")
repeat {
c_tag <- readYN("Which issue is incorrect?: ")
c_tag <- unlist(str_split(c_tag, ";"))
for(i in 1:length(c_tag)) {
if(checkIssue(c_tag[i], c_issueheads)) {status[i] <- TRUE} else {cat("Issue",c_tag[i],"does not exist. Please try again.\n")}
}
if(all(status)) {
break
}
}
}
wdq
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
source("issuecomp-codingsample-function2.R")
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
checkAllIssues <- function(string, issuelist) {
string <- unlist(str_split(string, ";"))
for(i in 1:length(string)) {
if(checkIssue(string[i], issuelist)) {
status[i] <- TRUE
}
else {
cat("Issue",string[i],"does not exist. Please try again.\n")
status[i] <- FALSE
}
}
}
test
checkAllIssues <- function(string, issuelist) {
string <- unlist(str_split(string, ";"))
for(i in 1:length(string)) {
if(checkIssue(string[i], issuelist)) {
status[i] <- TRUE
}
else {
cat("Issue",string[i],"does not exist. Please try again.\n")
status[i] <- FALSE
}
}
return(status)
}
test <- "issue.edathy"
checkAllIssues(test, c_issueheads)
test <- "issue.edathy"
checkAllIssues(test, c_issueheads)
rm(status)
checkAllIssues(test, c_issueheads)
checkAllIssues <- function(string, issuelist) {
status <- NULL
string <- unlist(str_split(string, ";"))
for(i in 1:length(string)) {
if(checkIssue(string[i], issuelist)) {
status[i] <- TRUE
}
else {
cat("Issue",string[i],"does not exist. Please try again.\n")
status[i] <- FALSE
}
}
return(status)
}
checkAllIssues(test, c_issueheads)
checkAllIssues("wdjqaowd", c_issueheads)
test <- checkAllIssues("wdjqaowd", c_issueheads)
test
test <- checkAllIssues("wdjqaow;wiqud", c_issueheads)
test
test <- checkAllIssues("wdjqaow;issue.edathy", c_issueheads)
test
checkAllIssues <- function(string, issuelist) {
status <- NULL
string <- unlist(str_split(string, ";"))
for(i in 1:length(string)) {
if(checkIssue(string[i], issuelist)) {
status[i] <- TRUE
}
else {
cat("Issue",string[i],"does not exist. Please try again.\n")
status[i] <- FALSE
}
}
return(status)
}
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
checkAllIssues <- function(string, issuelist) {
status <- NULL
for(i in 1:length(string)) {
if(checkIssue(string[i], issuelist)) {
status[i] <- TRUE
}
else {
cat("Issue",string[i],"does not exist. Please try again.\n")
status[i] <- FALSE
}
}
return(status)
}
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
View(c_issues)
View(tweets)
tweets$tagged <- NULL
View(c_tweets)
View(tweets)
# MATCH TWEETS ------------------------------------------------------------
id_folder <- "matched-ids"
unlink(id_folder, recursive = TRUE)
dir.create(id_folder)
issues <- data.frame(date = drange)
issuelist <- xmlToList("issues.xml")
issueheads <- names(issuelist)
issues[issueheads] <- 0
tweets$issue <- ""
tweets$tags <- ""
for(d in 1:nrow(issues)) {
# Go through every day
curdate <- issues$date[d]
cat(as.character(curdate),"\n")
# Put all tweets from specific day in a temporary DF
tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
for(t in 1:nrow(tweets_curday)){
# Select tweet's text, make it lowercase and remove hashtag indicators (#)
curtext <- as.character(tweets_curday$text[t])
curtext <- str_replace_all(curtext, "#", "")
curtext <- str_replace_all(curtext, "$", " ")
curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
curid <- as.character(tweets_curday$id_str[t])
# Now test each single issue (not tag!)
for(i in 1:length(issuelist)) {
curtags <- as.character(issuelist[[i]])
curissue <- names(issuelist)[i]
curfile <- str_c(id_folder,"/",curissue,".csv")
# Now test all tags of a single issue
for(s in 1:length(curtags)) {
curtag <- curtags[s]
curchars <- nchar(curtag, type = "chars")
# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
if(curchars <= 4) {
curacro <- checkAcronym(string = curtag, chars = curchars)
} else {
curacro <- FALSE
}
# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
if(tags_found == 1) {
# Raise number of findings on this day for this issue by 1
issues[d,curissue] <- issues[d,curissue] + 1
# Add issue and first matched tag of tweet to tweets-DF
oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
# Add information to file for function viewPatternMatching
write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
break
}
else {
#cat("Nothing found\n")
}
} # /for curtags
} # /for issuelist
} # /for tweets_curday
} # /for drange
date_start <- as.Date("2014-01-01")
date_end <- as.Date("2014-12-31")
drange <- as.integer(date_end - date_start)
drange <- date_start + days(0:drange)
# MATCH TWEETS ------------------------------------------------------------
id_folder <- "matched-ids"
unlink(id_folder, recursive = TRUE)
dir.create(id_folder)
issues <- data.frame(date = drange)
issuelist <- xmlToList("issues.xml")
issueheads <- names(issuelist)
issues[issueheads] <- 0
tweets$issue <- ""
tweets$tags <- ""
for(d in 1:nrow(issues)) {
# Go through every day
curdate <- issues$date[d]
cat(as.character(curdate),"\n")
# Put all tweets from specific day in a temporary DF
tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
for(t in 1:nrow(tweets_curday)){
# Select tweet's text, make it lowercase and remove hashtag indicators (#)
curtext <- as.character(tweets_curday$text[t])
curtext <- str_replace_all(curtext, "#", "")
curtext <- str_replace_all(curtext, "$", " ")
curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
curid <- as.character(tweets_curday$id_str[t])
# Now test each single issue (not tag!)
for(i in 1:length(issuelist)) {
curtags <- as.character(issuelist[[i]])
curissue <- names(issuelist)[i]
curfile <- str_c(id_folder,"/",curissue,".csv")
# Now test all tags of a single issue
for(s in 1:length(curtags)) {
curtag <- curtags[s]
curchars <- nchar(curtag, type = "chars")
# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
if(curchars <= 4) {
curacro <- checkAcronym(string = curtag, chars = curchars)
} else {
curacro <- FALSE
}
# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
if(tags_found == 1) {
# Raise number of findings on this day for this issue by 1
issues[d,curissue] <- issues[d,curissue] + 1
# Add issue and first matched tag of tweet to tweets-DF
oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
# Add information to file for function viewPatternMatching
write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
break
}
else {
#cat("Nothing found\n")
}
} # /for curtags
} # /for issuelist
} # /for tweets_curday
} # /for drange
View(tweets)
View(tweets)
# MATCH TWEETS ------------------------------------------------------------
id_folder <- "matched-ids"
unlink(id_folder, recursive = TRUE)
dir.create(id_folder)
issues <- data.frame(date = drange)
issuelist <- xmlToList("issues.xml")
issueheads <- names(issuelist)
issues[issueheads] <- 0
tweets$issue <- ""
tweets$tags <- ""
for(d in 1:nrow(issues)) {
# Go through every day
curdate <- issues$date[d]
cat(as.character(curdate),"\n")
# Put all tweets from specific day in a temporary DF
tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
for(t in 1:nrow(tweets_curday)){
# Select tweet's text, make it lowercase and remove hashtag indicators (#)
curtext <- as.character(tweets_curday$text[t])
curtext <- str_replace_all(curtext, "#", "")
curtext <- str_replace_all(curtext, "$", " ")
curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
curid <- as.character(tweets_curday$id_str[t])
# Now test each single issue (not tag!)
for(i in 1:length(issuelist)) {
curtags <- as.character(issuelist[[i]])
curissue <- names(issuelist)[i]
curfile <- str_c(id_folder,"/",curissue,".csv")
# Now test all tags of a single issue
for(s in 1:length(curtags)) {
curtag <- curtags[s]
curchars <- nchar(curtag, type = "chars")
# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
if(curchars <= 4) {
curacro <- checkAcronym(string = curtag, chars = curchars)
} else {
curacro <- FALSE
}
# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
if(tags_found == 1) {
# Raise number of findings on this day for this issue by 1
issues[d,curissue] <- issues[d,curissue] + 1
# Add issue and first matched tag of tweet to tweets-DF
oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
# Add information to file for function viewPatternMatching
write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
break
}
else {
#cat("Nothing found\n")
}
} # /for curtags
} # /for issuelist
} # /for tweets_curday
} # /for drange
View(tweets)
View(c_errors)
View(tweets)
readYN <- function(question) {
n <- readline(prompt=question)
n <- as.character(n)
return(n)
}
checkIssue <- function(string, issuelist) {
status <- any(str_detect(string, issuelist))
return(status)
}
checkAllIssues <- function(string, issuelist) {
status <- NULL
for(i in 1:length(string)) {
if(checkIssue(string[i], issuelist)) {
status[i] <- TRUE
}
else {
cat("Issue",string[i],"does not exist. Please try again.\n")
status[i] <- FALSE
}
}
return(status)
}
View(tweets)
View(tweets)
write.csv(tweets, "tweets.csv")
save(tweets, file="tweets.RData")
write.csv(tweets, "tweets.csv")
save(tweets, file="tweets.RData")
c_tweets <- read.csv("tweets.csv")
View(c_tweets)
c_tweets$X <- NULL
# Read all issues from XML file
c_issues <- data.frame(date = drange)
c_issuelist <- xmlToList("issues.xml")
c_issueheads <- names(issuelist)
c_issues[issueheads] <- 0
source("issuecomp-codingsample-function.R")
rm(c_err, c_result, c_samid, c_samno,c_samtags,c_samissue,c_samtext,c_yn)
rm(c_samtag)
rm(tweets_curday,curacro, curchars, curdate,curfile,curid,curissue,curtag,curtags,curtext,d,date_end,date_start,drange,i,id_folder,oldissue,oldtag,s,t,tags_found)
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
View(c_errors)
names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
View(c_errors)
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errissue <- as.character(c_errors$issue[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
c_errid <- as.character(c_errors$str_id[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errissue <- as.character(c_errors$issue[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
c_errid <- as.character(c_errors$str_id[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
c_curissue
c_curtags
c_errissue
c_errtags
c_errid
delrow <- NULL
for(r in 1:nrow(tweets)) {
if(format(tweets$created_at[r], "%Y") != "2014") {
delrow <- c(delrow, r)
}
curtext <- as.character(tweets$text[r])
curtext <- str_replace_all(curtext, "$", " ")
curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
}
r
require(stringr)
View(tweets)
df <- data.frame(x= c("zeile1","zeile2"))
View(df)
df$x[1] <- "blabla"
View(df)
df <- data.frame(x= c("zeile1","zeile2"))
test <- "bla bla"
df$x[1] <- test
View(df)
df$x[1] <- as.character(test)
class(df$x)
df$x[1] <- as.factor(test)
head(tweet)
head(tweets)
df <- head(tweets)
View(df)
df$text[1] <- "test"
View(tweets)
View(df)
for(r in 1:nrow(tweets)) {
#   if(format(tweets$created_at[r], "%Y") != "2014") {
#     delrow <- c(delrow, r)
#   }
curtext <- as.character(tweets$text[r])
curtext <- str_replace_all(curtext, "$", " ")
curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
tweets$text[r] <- curtext
}
View(tweets)
View(c_tweets)
rm(delrow, r)
save(tweets, file="tweets_untagged.RData")
row.names(tweets) <- NULL
write.csv(tweets, "tweets.csv")
save(tweets, file="tweets.RData")
c_tweets <- read.csv("tweets.csv")
c_tweets$X <- NULL
View(c_tweets)
viewMatchingTweets
c_tweets <- read.csv("tweets.csv", colClasses="character")
c_tweets$X <- NULL
View(c_tweets)
View(c_issues)
c_errtags
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errissue <- as.character(c_errors$issue[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
c_errid <- as.character(c_errors$str_id[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}
curissue
c_curissue
str_join(c_curissue)
str_join(c_curissue,collapse = NULL)
str_join(c_curissue,sep=";",collapse = NULL)
paste(c_curissue,sep = "")
paste(c_curissue,sep = '')
length(paste(c_curissue,sep = ''))
str_join(c_curissue,sep=";",collapse = "")
str_join(c_curissue,sep=";",collapse = "w")
str_join(c_curissue,collapse = ";")
for(r in 1:nrow(c_errors)) {
c_errcode <- as.character(c_errors$code[r])
c_errissue <- as.character(c_errors$issue[r])
c_errtags <- as.character(c_errors$tags[r])
c_errtext <- as.character(c_errors$text[r])
c_errid <- as.character(c_errors$str_id[r])
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
source("issuecomp-codingsample-function2.R")
}