added coding sample tests

.Rhistory

@@ -1,261 +1,178 @@
-# 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
+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$text[r])
+cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
+source("issuecomp-codingsample-function2.R")
 }
-# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
-tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
-if(tags_found == 1) {
-#cat("Matched", curtag, "with", curtext,"\n")
-issues[d,curissue] <- issues[d,curissue] + 1
-write(str_c(curdate,";\"",curid,"\""), curfile, append = TRUE)
+status
+for(r in 1:nrow(c_errors)) {
+c_errcode <- as.character(c_errors$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
 }
-else {
-#cat("Nothing found\n")
 }
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-smartPatternMatch("kerTips: Riker workplace tip: Flirt when no one else is looking. http", "IS", 2, TRUE)
-smartPatternMatch("kerTips: Riker workplace tip: Flirt when no one else is looking. http", "is", 2, TRUE)
-viewMatchingTweets("2014-01-06", "issue.iraq", id_folder)
-# 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
-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, "#", "")
-curid <- as.character(tweets_curday$id_str[t])
-# Now test each single issue (not tag!)
-for(i in 1:length(issuelist)) {
-curtags <- as.character(issuelist[[i]])
-curissue <- names(issuelist)[i]
-curfile <- str_c(id_folder,"/",curissue,".csv")
-# Now test all tags of a single issue
-for(s in 1:length(curtags)) {
-curtag <- curtags[s]
-curchars <- nchar(curtag, type = "chars")
-# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
-if(curchars <= 4) {
-curacro <- checkAcronym(string = curtag, chars = curchars)
-} else {
-curacro <- FALSE
+if(c_errcode == "1") {
+#cat("Which issue is incorrect?\n")
+repeat {
+c_tag <- readYN("Which issue is incorrect?: ")
+c_tag <- unlist(str_split(c_tag, ";"))
+for(i in 1:length(c_tag)) {
+if(checkIssue(c_tag[i], c_issueheads)) {status[i] <- TRUE} else {cat("Issue",c_tag[i],"does not exist. Please try again.\n")}
 }
-# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
-tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
-if(tags_found == 1) {
-#cat("Matched", curtag, "with", curtext,"\n")
-issues[d,curissue] <- issues[d,curissue] + 1
-write(str_c(curdate,";\"",curid,"\""), curfile, append = TRUE)
+if(all(status)) {
 break
 }
+}
+}
+wdq
+for(r in 1:nrow(c_errors)) {
+c_errcode <- as.character(c_errors$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("Nothing found\n")
+cat("Issue",string[i],"does not exist. Please try again.\n")
+status[i] <- FALSE
 }
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-source("issuecomp-functions.R")
-# 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
-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, "#", "")
-curid <- as.character(tweets_curday$id_str[t])
-# Now test each single issue (not tag!)
-for(i in 1:length(issuelist)) {
-curtags <- as.character(issuelist[[i]])
-curissue <- names(issuelist)[i]
-curfile <- str_c(id_folder,"/",curissue,".csv")
-# Now test all tags of a single issue
-for(s in 1:length(curtags)) {
-curtag <- curtags[s]
-curchars <- nchar(curtag, type = "chars")
-# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
-if(curchars <= 4) {
-curacro <- checkAcronym(string = curtag, chars = curchars)
-} else {
-curacro <- FALSE
 }
-# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
-tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
-if(tags_found == 1) {
-#cat("Matched", curtag, "with", curtext,"\n")
-issues[d,curissue] <- issues[d,curissue] + 1
-write(str_c(curdate,";\"",curid,"\";"curtag), curfile, append = TRUE)
-break
+}
+test
+checkAllIssues <- function(string, issuelist) {
+string <- unlist(str_split(string, ";"))
+for(i in 1:length(string)) {
+if(checkIssue(string[i], issuelist)) {
+status[i] <- TRUE
 }
 else {
-#cat("Nothing found\n")
+cat("Issue",string[i],"does not exist. Please try again.\n")
+status[i] <- FALSE
 }
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-# MATCH TWEETS ------------------------------------------------------------
-id_folder <- "matched-ids"
-unlink(id_folder, recursive = TRUE)
-dir.create(id_folder)
-issues <- data.frame(date = drange)
-issuelist <- xmlToList("issues.xml")
-issueheads <- names(issuelist)
-issues[issueheads] <- 0
-for(d in 1:nrow(issues)) {
-# Go through every day
-curdate <- issues$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$text[t])
-curtext <- str_replace_all(curtext, "#", "")
-curid <- as.character(tweets_curday$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) {
-#cat("Matched", curtag, "with", curtext,"\n")
-issues[d,curissue] <- issues[d,curissue] + 1
-write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
-break
+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("Nothing found\n")
+cat("Issue",string[i],"does not exist. Please try again.\n")
+status[i] <- FALSE
 }
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-source("issuecomp-functions.R")
-viewMatchingTweets("2014-01-06", "issue.iraq", id_folder)
-viewMatchingTweets("2014-01-07", "issue.iraq", id_folder)
-viewMatchingTweets("2014-01-09", "issue.iraq", id_folder)
-curtext <- "Willkürlich Menschen an ihrer #Versammlungsfreiheit zu hindern ist eindeutig rechtswidrig. http://t.co/A7IQfISIhP #Gefahrengebiet #Hamburg"
-str_replace_all(curtext, "http://.+\\W", "")
-str_replace_all(curtext, "http://.+?\\W", "")
-str_replace_all(curtext, "http://.+?\\s", "")
-str_replace_all(curtext, "http://.+?\\s", "")
-curtext <- "test http://google.de haha http://nsa.gov eqiuhe"
-str_replace_all(curtext, "http://.+?\\s", "")
-str_replace_all(curtext, "http://.+?\\s", "URL")
-str_replace_all(curtext, "http://.+?\\s", "URL ")
-viewMatchingTweets("2014-01-09", "issue.iraq", id_folder)
-# 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
-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, "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) {
-#cat("Matched", curtag, "with", curtext,"\n")
-issues[d,curissue] <- issues[d,curissue] + 1
-write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
-break
+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("Nothing found\n")
+cat("Issue",string[i],"does not exist. Please try again.\n")
+status[i] <- FALSE
 }
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-viewMatchingTweets("2014-01-09", "issue.iraq", id_folder)
-viewMatchingTweets("2014-01-08", "issue.iraq", id_folder)
-viewMatchingTweets("2014-01-10", "issue.iraq", id_folder)
-curtext
-str_replace_all(curtext, "http://.+?\\>", "URL ")
-str_replace_all(curtext, "http://.+?\\<", "URL ")
-curtext <- str_replace_all(curtext, "http://.+?\\b", "URL ")
-str_replace_all(curtext, "http://.+?\\b", "URL ")
-str_replace_all(curtext, "http://.+?\\s", "URL ")
-curtext
-curtext <- as.character(tweets_curday$text[t])
-curtext
-str_replace_all(curtext, "http://.+?\\s", "URL ")
-str_replace_all(curtext, "http://.+?\\b", "URL ")
-str_replace_all(curtext, "http://.+?\\<", "URL ")
-str_replace_all(curtext, "http://.+?\\>", "URL ")
-str_replace_all(curtext, "http://.+?\\s", "URL ")
-str_replace_all(curtext, "$", " ")
-curtext <- str_replace_all(curtext, "$", " ")
-curtext
-str_replace_all(curtext, "http://.+?\\s", "URL ")
-viewMatchingTweets("2014-01-10", "issue.iraq", id_folder)
+}
+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)
@@ -264,6 +181,8 @@ 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$date[d]
@@ -295,8 +214,14 @@ curacro <- FALSE
 # Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
 tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
 if(tags_found == 1) {
-#cat("Matched", curtag, "with", curtext,"\n")
+# Raise number of findings on this day for this issue by 1
 issues[d,curissue] <- issues[d,curissue] + 1
+# Add issue and first matched tag of tweet to tweets-DF
+oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
+tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
+oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
+tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
+# Add information to file for function viewPatternMatching
 write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
 break
 }
@@ -307,7 +232,10 @@ else {
 } # /for issuelist
 } # /for tweets_curday
 } # /for drange
-viewMatchingTweets("2014-01-10", "issue.iraq", id_folder)
+date_start <- as.Date("2014-01-01")
+date_end <- as.Date("2014-12-31")
+drange <- as.integer(date_end - date_start)
+drange <- date_start + days(0:drange)
 # MATCH TWEETS ------------------------------------------------------------
 id_folder <- "matched-ids"
 unlink(id_folder, recursive = TRUE)
@@ -316,6 +244,8 @@ issues <- data.frame(date = drange)
 issuelist <- xmlToList("issues.xml")
 issueheads <- names(issuelist)
 issues[issueheads] <- 0
+tweets$issue <- ""
+tweets$tags <- ""
 for(d in 1:nrow(issues)) {
 # Go through every day
 curdate <- issues$date[d]
@@ -347,8 +277,14 @@ 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) {
-#cat("Matched", curtag, "with", curtext,"\n")
+# 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
 }
@@ -359,32 +295,9 @@ else {
 } # /for issuelist
 } # /for tweets_curday
 } # /for drange
-View(issues)
-viewMatchingTweets("2014-12-18", "issue.edathy", id_folder)
-issues_melt <- melt(issues,id="date")
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line(size=1)
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line(size=1)
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line(size=1)
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
-viewMatchingTweets("2014-12-18", "issue.conservative", id_folder)
-agrep("christ", "Jungparlamentarier gleich Schriftführerdienst hat", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Jungparlamentarier gleich Schriftführerdienst hat", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christ bla", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christus bla", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christu bla", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christus bla", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christus bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla christus bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla christus bla", max.distance = list(all = 2), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla christen bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Antichrist bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christian bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bchrist\\b", "Bla Christian bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE, value=TRUE)
-agrep("\\bchrist\\b", "Bla Christi bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE, value=TRUE)
-agrep("\\bchrist\\b", "Bla Christi bla", max.distance = list(all = 3), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bIS\\b", "Wir sind bei ISN Network", max.distance = list(all = 0), ignore.case = TRUE, fixed = FALSE)
-agrep("\\bIS\\b", "Wir sind bei ISN Network", max.distance = list(all = 0), ignore.case = F, fixed = FALSE)
+View(tweets)
+View(tweets)
+# MATCH TWEETS ------------------------------------------------------------
 id_folder <- "matched-ids"
 unlink(id_folder, recursive = TRUE)
 dir.create(id_folder)
@@ -392,6 +305,8 @@ 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$date[d]
@@ -423,8 +338,14 @@ curacro <- FALSE
 # Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
 tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
 if(tags_found == 1) {
-#cat("Matched", curtag, "with", curtext,"\n")
+# Raise number of findings on this day for this issue by 1
 issues[d,curissue] <- issues[d,curissue] + 1
+# Add issue and first matched tag of tweet to tweets-DF
+oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
+tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
+oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
+tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
+# Add information to file for function viewPatternMatching
 write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
 break
 }
@@ -435,78 +356,157 @@ else {
 } # /for issuelist
 } # /for tweets_curday
 } # /for drange
-issues_melt <- melt(issues,id="date")
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
-viewMatchingTweets("2014-12-18", "issue.conservative", id_folder)
-pattern
-agrep("\\bchrist\\b", "RT @christophheyes: Morgen in der Presse: Oppermann - Briefkasten gestohlen! Gabriel - Poesiealbum nicht mehr auffindbar! #edathy #hartmann", max.distance = list(all = 1), ignore.case = TRUE, fixed = FALSE)
-smartPatternMatch
-source("issuecomp-functions.R")
-smartPatternMatch
-# MATCH TWEETS ------------------------------------------------------------
-id_folder <- "matched-ids"
-unlink(id_folder, recursive = TRUE)
-dir.create(id_folder)
-issues <- data.frame(date = drange)
-issuelist <- xmlToList("issues.xml")
-issueheads <- names(issuelist)
-issues[issueheads] <- 0
-for(d in 1:nrow(issues)) {
-# Go through every day
-curdate <- issues$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$text[t])
-curtext <- str_replace_all(curtext, "#", "")
+View(tweets)
+View(c_errors)
+View(tweets)
+readYN <- function(question) {
+n <- readline(prompt=question)
+n <- as.character(n)
+return(n)
+}
+checkIssue <- function(string, issuelist) {
+status <- any(str_detect(string, issuelist))
+return(status)
+}
+checkAllIssues <- function(string, issuelist) {
+status <- NULL
+for(i in 1:length(string)) {
+if(checkIssue(string[i], issuelist)) {
+status[i] <- TRUE
+}
+else {
+cat("Issue",string[i],"does not exist. Please try again.\n")
+status[i] <- FALSE
+}
+}
+return(status)
+}
+View(tweets)
+View(tweets)
+write.csv(tweets, "tweets.csv")
+save(tweets, file="tweets.RData")
+write.csv(tweets, "tweets.csv")
+save(tweets, file="tweets.RData")
+c_tweets <- read.csv("tweets.csv")
+View(c_tweets)
+c_tweets$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, "$", " ")
 curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
-curid <- as.character(tweets_curday$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) {
-#cat("Matched", curtag, "with", curtext,"\n")
-issues[d,curissue] <- issues[d,curissue] + 1
-write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
-break
+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
 }
-else {
-#cat("Nothing found\n")
+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")
 }
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-issues_melt <- melt(issues,id="date")
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
-viewMatchingTweets("2014-12-18", "issue.conservative", id_folder)
-viewMatchingTweets("2014-05-18", "issue.conservative", id_folder)
-viewMatchingTweets("2014-05-1", "issue.conservative", id_folder)
-viewMatchingTweets("2014-05-01", "issue.conservative", id_folder)
-viewMatchingTweets("2014-05-02", "issue.conservative", id_folder)
-viewMatchingTweets("2014-05-10", "issue.conservative", id_folder)
-viewMatchingTweets("2014-05-10", "issue.middleeast", id_folder)
-viewMatchingTweets("2014-05-10", "issue.iraw", id_folder)
-viewMatchingTweets("2014-05-10", "issue.iraq", id_folder)
-viewMatchingTweets("2014-08-10", "issue.iraq", id_folder)
-viewMatchingTweets("2014-11-10", "issue.iraq", id_folder)
-viewMatchingTweets("2014-12-10", "issue.iraq", id_folder)
-View(issues)
-viewMatchingTweets("2014-09-19", "issue.control", id_folder)

.gitignore

@@ -1,4 +1,6 @@
 tweets_complete.csv
-current.txt
+tweets.csv
+tweets_untagged.csv
+tweets_untagged.RData
 .RData
 matched-ids

issuecomp-analysis.R

@@ -6,6 +6,8 @@ require(stringr)
 
 source("issuecomp-functions.R")
 
+load(file = "tweets_untagged.RData")
+
 # Create date range
 date_start <- as.Date("2014-01-01")
 date_end <- as.Date("2014-12-31")
@@ -23,6 +25,8 @@ 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
@@ -36,8 +40,7 @@ for(d in 1:nrow(issues)) {
     # 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!)
@@ -61,8 +64,16 @@ for(d in 1:nrow(issues)) {
         # 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) {
-          #cat("Matched", curtag, "with", curtext,"\n")
+          # 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
         }
@@ -75,11 +86,19 @@ for(d in 1:nrow(issues)) {
   } # /for tweets_curday
 } # /for drange
 
+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)
+
 
+# SAVING ------------------------------------------------------------------
 
 
+row.names(tweets) <- NULL
+write.csv(tweets, "tweets.csv")
+save(tweets, file="tweets.RData")
+
 # VISUALS -----------------------------------------------------------------
 
+
 # Level: days
 issues_melt <- melt(issues,id="date")
 ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line(size=1)

issuecomp-codingsample-correct.csv

@@ -0,0 +1,2 @@
+"443032724505624576",0,"","","RT @Linksfraktion: Sevim Dagdelen: Optionspflicht abschaffen – ohne „Wenn“ und „Aber“ http://t.co/PXVz60RyDa"
+"464039981766684672",0,"","","Hange spricht von einer Kutsche ohne Dach in der wir fahren und hoffen, dass es nicht regne #btADA"

issuecomp-codingsample-error.csv

@@ -0,0 +1,3 @@
+"532463690013233152",1,"","","RT @cordhos: ! “@cducsubt: Paul Breitner vom @FCBayern - #Bundestag jetzt mit eigenem Fanclub @hahnflo @DoroBaer @dieAlbsteigerin http://t.…"
+"516584367448403968",1,"","","Debate und critics in the parlamentarian assembly of the European Council about the elections in #Turkey @PACE_News @GeziParkii"
+"516624274522918912",1,"","","Nach Bürgergespräch bin nun noch im Ratshof zur Ausstellungseröffnung - Wanderausstellung zum Bundestag."

issuecomp-codingsample-function.R

@@ -0,0 +1,39 @@
+repeat {
+  c_samno <- sample(1:nrow(c_tweets), 1)
+  c_samtext <- as.character(c_tweets$text[c_samno])
+  c_samissue <- as.character(c_tweets$issue[c_samno])
+  c_samtags <- as.character(c_tweets$tags[c_samno])
+  c_samid <- as.character(c_tweets$id_str[c_samno])
+  
+  
+  repeat {
+    cat("===================\n\n[TWEET]: ",c_samtext,"\n", "[ISSUES]: ", c_samissue, sep="")
+    c_yn <- readYN("Is the categorization correct AND complete?\nEnter y or n: ")
+    
+    # Check if input is correct
+    if(c_yn == "y" || c_yn == "n" || c_yn == "QUIT") {break} else {cat("Wrong input, please enter y or n (or QUIT if you want to exit safely).\n")}
+  }
+
+  # Exit codes:
+  # 0 = Correct tagging
+  # 1 = At least one tag was incorrect
+  # 2 = At least one tag was missing
+  # 3 = Both 1 and 2
+  
+  if(c_yn == "y") {
+    c_result <- str_c("\"",c_samid,"\"",",0,","\"",c_samissue,"\",\"",c_samtags,"\",\"",c_samtext,"\"")
+    write(c_result, file = "issuecomp-codingsample-correct.csv", append = T)
+  } 
+  else if(c_yn == "n") {
+    repeat {
+      c_err <- readYN("Enter 1 if a tag is incorrect, 2 if a tag is missing, and 3 if a tag is incorrect AND missing: ")
+      if(c_err == "1" || c_err == "2" || c_err == "3") {break} else {cat("Wrong input, please enter 1, 2 or 3.\n")}
+    }
+    c_result <- str_c("\"",c_samid,"\",",c_err,",\"",c_samissue,"\",\"",c_samtags,"\",\"",c_samtext,"\"")
+    write(c_result, file = "issuecomp-codingsample-error.csv", append = T)
+  } 
+  else {
+    cat("Quitting now.")
+    break
+  }
+}

issuecomp-codingsample-function2.R

@@ -0,0 +1,58 @@
+# A tweet was falsely categorized
+if(c_errcode == "1") {
+  repeat {
+    c_curissue <- readYN("Which issue is incorrect?: ")
+    if(c_curissue == "QUIT") {cat("Quitting this item without changes or entries.\n"); break}
+    c_curissue <- unlist(str_split(c_curissue, ";"))
+    
+    status <- checkAllIssues(c_curissue, c_issueheads)
+    
+    # Only continue if every given issue really exists (all "status" have to be TRUE)
+    if(all(status)) {
+      # Revert str_split
+      c_curissue <- str_join(c_curissue,collapse = ";")
+      
+      # <ID>,<all issues>,<faulty issue(s),<all tags>,<tweet text>
+      c_result <- str_c("\"",c_errid,"\",\"",c_errissue,"\",\"",c_curissue,"\",\"",c_errtags,"\",\"",c_errtext,"\"")
+      write(c_result, file = "issuecomp-codingsample-error1.csv", append = T)
+      break
+    }
+  }
+
+# A tweet should be categorized with an additional issue
+} else if(c_errcode == "2") {
+  repeat {
+    c_curissue <- readYN("Which issue is missing?: ")
+    if(c_curissue == "QUIT") {cat("Quitting this item without changes or entries.\n"); break}
+    c_curissue <- unlist(str_split(c_curissue, ";"))
+    
+    status <- checkAllIssues(c_curissue, c_issueheads)
+    
+    # Only continue if every given issue really exists (all "status" have to be TRUE)
+    if(all(status)) {
+      # Revert str_split
+      c_curissue <- str_join(c_curissue,collapse = ";")
+      
+      # <ID>,<all issues>,<faulty issue(s),<all tags>,<tweet text>
+      c_result <- str_c("\"",c_errid,"\",\"",c_errissue,"\",\"",c_curissue,"\",\"",c_errtags,"\",\"",c_errtext,"\"")
+      write(c_result, file = "issuecomp-codingsample-error2.csv", append = T)
+      break
+    }
+  }
+
+# There is an issue missing AND a issue was wrong
+} else if(c_errcode == "3") {
+  #cat("Which issue is incorrect and which one is missing?\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)) {} else {cat("Issue",c_tag[i],"does not exist. Please try again.\n")}
+    }
+  }
+  
+
+# If this triggers the hell freezes...
+} else {
+  cat("Neither 1, 2 or 3 as error code...")
+}

issuecomp-codingsample.R

@@ -0,0 +1,75 @@
+require(stringr)
+require(XML)
+
+# FUNCTIONS ---------------------------------------------------------------
+
+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)
+}
+
+
+# SAMPLE OUT/INPUT --------------------------------------------------------
+
+
+# Read CSV of all tweets (with tags, if available)
+c_tweets <- read.csv("tweets.csv", colClasses="character")
+c_tweets$X <- NULL
+
+# Read all issues from XML file
+c_issues <- data.frame(date = drange)
+c_issuelist <- xmlToList("issues.xml")
+c_issueheads <- names(issuelist)
+c_issues[issueheads] <- 0
+
+
+# Run through as many tweets as wished to mark them as correct or incorrect
+source("issuecomp-codingsample-function.R")
+rm(c_err, c_result, c_samid, c_samno,c_samtags,c_samissue,c_samtext,c_yn)
+
+
+# Now go through tweets/tags marked as false
+
+# Exit codes:
+# 0 = Correct tagging
+# 1 = At least one tag was incorrect
+# 2 = At least one tag was missing
+# 3 = Both 1 and 2
+
+c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
+names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
+
+for(r in 1:nrow(c_errors)) {
+  c_errcode <- as.character(c_errors$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")
+}
+
+
+
+

issuecomp-scraping.R

@@ -176,19 +176,22 @@ tweets <- tweets[order(tweets$created_at), ]
 
 # Finally delete every tweet not from 2014 (2013 or 2015)
 delrow <- NULL
-pb <- txtProgressBar(min = 0, max = nrow(tweets), style = 3)
 for(r in 1:nrow(tweets)) {
   if(format(tweets$created_at[r], "%Y") != "2014") {
     delrow <- c(delrow, r)
   }
-  setTxtProgressBar(pb, r)
+  curtext <- as.character(tweets$text[r])
+  curtext <- str_replace_all(curtext, "$", " ")
+  curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
+  tweets$text[r] <- curtext
 }
 tweets <- tweets[-delrow, ]
 rm(delrow, r)
 
+
 # Convert dates to omit (unnecessary) time
 tweets$created_at <- format(tweets$created_at, "%Y-%m-%d")
 
-save(tweets, file="tweets.RData")
+save(tweets, file="tweets_untagged.RData")
 
 

issues.xml

@@ -87,7 +87,7 @@
     </issue.conservative>
 
     <issue.control>
-        <tag>pillepalle</tag>
+        <tag>der</tag>
         <tag>schundluder</tag>
         <tag>whatthefuck</tag>
     </issue.control>