513 lines
19 KiB
R
513 lines
19 KiB
R
tweets$tags <- ""
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for(d in 1:nrow(issues)) {
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# Go through every day
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curdate <- issues$date[d]
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cat(as.character(curdate),"\n")
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# Put all tweets from specific day in a temporary DF
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tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
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for(t in 1:nrow(tweets_curday)){
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# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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curtext <- as.character(tweets_curday$text[t])
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curtext <- str_replace_all(curtext, "#", "")
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curid <- as.character(tweets_curday$id_str[t])
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# Now test each single issue (not tag!)
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for(i in 1:length(issuelist)) {
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curtags <- as.character(issuelist[[i]])
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curissue <- names(issuelist)[i]
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curfile <- str_c(id_folder,"/",curissue,".csv")
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# Now test all tags of a single issue
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for(s in 1:length(curtags)) {
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curtag <- curtags[s]
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curchars <- nchar(curtag, type = "chars")
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# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
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if(curchars <= 4) {
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curacro <- checkAcronym(string = curtag, chars = curchars)
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} else {
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curacro <- FALSE
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}
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# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
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tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
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if(tags_found == 1) {
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# Raise number of findings on this day for this issue by 1
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issues[d,curissue] <- issues[d,curissue] + 1
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# Add issue and first matched tag of tweet to tweets-DF
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oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
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tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
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oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
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tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
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# Add information to file for function viewPatternMatching
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write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
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break
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}
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else {
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#cat("Nothing found\n")
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}
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} # /for curtags
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} # /for issuelist
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} # /for tweets_curday
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} # /for drange
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View(issues)
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# MATCH TWEETS ------------------------------------------------------------
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id_folder <- "matched-ids"
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unlink(id_folder, recursive = TRUE)
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dir.create(id_folder)
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issues <- data.frame(date = drange)
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issuelist <- xmlToList("issues.xml")
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issueheads <- names(issuelist)
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issues[issueheads] <- 0
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tweets$issue <- ""
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tweets$tags <- ""
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for(d in 1:nrow(issues)) {
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# Go through every day
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curdate <- issues$date[d]
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cat(as.character(curdate),"\n")
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# Put all tweets from specific day in a temporary DF
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tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
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for(t in 1:nrow(tweets_curday)){
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# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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curtext <- as.character(tweets_curday$text[t])
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curtext <- str_replace_all(curtext, "#", "")
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curid <- as.character(tweets_curday$id_str[t])
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# Now test each single issue (not tag!)
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for(i in 1:length(issuelist)) {
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curtags <- as.character(issuelist[[i]])
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curissue <- names(issuelist)[i]
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curfile <- str_c(id_folder,"/",curissue,".csv")
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# Now test all tags of a single issue
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for(s in 1:length(curtags)) {
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curtag <- curtags[s]
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curchars <- nchar(curtag, type = "chars")
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# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
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if(curchars <= 4) {
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curacro <- checkAcronym(string = curtag, chars = curchars)
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} else {
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curacro <- FALSE
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}
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# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
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tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
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if(tags_found == 1) {
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# Raise number of findings on this day for this issue by 1
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issues[d,curissue] <- issues[d,curissue] + 1
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# Add issue and first matched tag of tweet to tweets-DF
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oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
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tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
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oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
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tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
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# Add information to file for function viewPatternMatching
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write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
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break
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}
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else {
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#cat("Nothing found\n")
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}
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} # /for curtags
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} # /for issuelist
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} # /for tweets_curday
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} # /for drange
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#rm(tweets_curday,curacro, curchars, curdate,curfile,curid,curissue,curtag,curtags,curtext,d,date_end,date_start,i,id_folder,oldissue,oldtag,s,t,tags_found)
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View(issues)
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save(issues, "issues.RData")
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save(issues, file="issues.RData")
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readYN <- function(question) {
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n <- readline(prompt=question)
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n <- as.character(n)
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return(n)
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}
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checkIssue <- function(string, issuelist) {
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status <- any(str_detect(string, issuelist))
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return(status)
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}
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checkAllIssues <- function(string, issuelist) {
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status <- NULL
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for(i in 1:length(string)) {
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if(checkIssue(string[i], issuelist)) {
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status[i] <- TRUE
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}
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else {
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cat("Issue",string[i],"does not exist. Please try again.\n")
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status[i] <- FALSE
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}
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}
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return(status)
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}
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require(stringr)
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require(XML)
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require(stringr)
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require(XML)
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# FUNCTIONS ---------------------------------------------------------------
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readYN <- function(question) {
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n <- readline(prompt=question)
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n <- as.character(n)
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return(n)
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}
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checkIssue <- function(string, issuelist) {
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status <- any(str_detect(string, issuelist))
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return(status)
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}
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checkAllIssues <- function(string, issuelist) {
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status <- NULL
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for(i in 1:length(string)) {
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if(checkIssue(string[i], issuelist)) {
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status[i] <- TRUE
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}
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else {
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cat("Issue",string[i],"does not exist. Please try again.\n")
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status[i] <- FALSE
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}
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}
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return(status)
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}
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c_issues <- data.frame(date = drange)
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c_issuelist <- xmlToList("issues.xml")
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c_issueheads <- names(issuelist)
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c_issues[issueheads] <- 0
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source("issuecomp-codingsample-function.R")
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c_tweets <- tweets
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View(c_tweets)
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source("issuecomp-codingsample-function.R")
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrechte\\b", 13, FALSE)
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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pattern <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) {
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found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) {
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cat("bla")
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found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
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}
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else {
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found <- agrep(pattern, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrechte\\b", 13, FALSE)
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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pattern <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) {
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found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) {
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found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
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}
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else {
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found <- agrep(pattern, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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pattern <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) {
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found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) {
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found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
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}
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else {
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found <- agrep(pattern, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrechte\\b", 13, FALSE)
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenracht\\b", 13, FALSE)
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smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschen-recht\\b", 13, FALSE)
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smartPatternMatch("Höflich, aber klares Statement zu Menschen-Rechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
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smartPatternMatch("Höflich, aber klares Statement zu Menschen-Rechte. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
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smartPatternMatch("Bla bla Tomate ", "\\Tomate\\b", 6, FALSE)
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smartPatternMatch("Bla bla Tomaten bla bla", "\\Tomate\\b", 6, FALSE)
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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pattern <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) {
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found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) {
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found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
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}
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else {
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found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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smartPatternMatch("Bla bla Tomaten bla bla", "\\Tomate\\b", 6, FALSE)
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smartPatternMatch("Bla bla Menschen bla bla", "\\Menschen\\b", 8, FALSE)
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smartPatternMatch("Bla bla Menschen bla bla", "\\Menschen\\b", 7, FALSE)
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smartPatternMatch("Bla bla Menschen bla bla", "\\Mensch\\b", 7, FALSE)
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smartPatternMatch("Bla bla Menschen bla bla", "\\Mensch\\b", 8, FALSE)
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smartPatternMatch("Bla bla Nazis bla bla", "\\Nazis\\b", 8, FALSE)
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smartPatternMatch("Bla bla Nazis bla bla", "\\Nazis\\b", 5, FALSE)
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smartPatternMatch("Bla bla Nazis bla bla", "\\Nazi\\b", 4, FALSE)
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smartPatternMatch("Bla bla Nazi bla bla", "\\Nazis\\b", 5, FALSE)
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source("issuecomp-codingsample-function.R")
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
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str_detect("Der kleine Flüchtlingsjunge war", pattern = "\\bFlüchtling\\b")
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str_detect("Der kleine Flüchtlingsjunge war", pattern = "Flüchtling")
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str_detect("Der kleine Flücht lingsjunge war", pattern = "Flüchtling")
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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pattern <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) { # 4 or less
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found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) { # 8 or more
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found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
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cat(found)
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}
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else { # 5,6,7
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found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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str_detect("Der kleine Flücht lingsjunge war", pattern = "Flüchtling")
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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pattern <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) { # 4 or less
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found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) { # 8 or more
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found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
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cat("it's",found)
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}
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else { # 5,6,7
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found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
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str_detect("Der kleine Flücht lingsjunge war", pattern = "Flüchtling")
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str_detect("Der kleine Flüchtlingsjunge war", pattern = "Flüchtling")
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
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smartPatternMatch("Der kleine Flüchtlinge war", "\\bFlüchtling\\b", 9, FALSE)
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grep("Flüchtling","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
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grep("\\bFlüchtling\\b","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
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grep("\\bFlüchtling\\b","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=TRUE)
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grep("\\bFlüchtling\\b","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
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grep("Flüchtling","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
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grep("Flüchtling","Der kleine Flücht-lingsjunge war", ignore.case = TRUE, fixed=FALSE)
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grep("Flüchtling","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
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smartPatternMatch <- function(string, pattern, chars, acronym) {
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patternrex <- str_c("\\b", pattern, "\\b")
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if(chars <= 4) { # 4 or less
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found <- agrep(patternrex, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
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}
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else if(chars >= 8) { # 8 or more
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found <- agrep(patternrex, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
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if(convertLogical0(found) == 0) {
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found <- grep(pattern, string, ignore.case = !acronym, fixed = FALSE)
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}
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}
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else { # 5,6,7
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found <- agrep(patternrex, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
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}
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found <- convertLogical0(found)
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return(found)
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}
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "Flüchtling", 9, FALSE)
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "Flüchtling", 9, FALSE)
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smartPatternMatch("Der kleine Flüchtlingsjunge war", "Flüchtling", 7, FALSE)
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c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
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names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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View(c_errors)
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viewMatchingTweets(date = "2014-05-10", issue = "agrar.204", id_folder)
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viewMatchingTweets(date = "2014-05-10", issue = "agrar.402", id_folder)
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viewMatchingTweets(date = "2014-01-10", issue = "agrar.402", id_folder)
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viewMatchingTweets(date = "2014-01-20", issue = "agrar.402", id_folder)
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viewMatchingTweets(date = "2014-01-10", issue = "agrar.403", id_folder)
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viewMatchingTweets(date = "2014-04-10", issue = "agrar.403", id_folder)
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viewMatchingTweets(date = "2014-05-10", issue = "agrar.403", id_folder)
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viewMatchingTweets(date = "2014-02-11", issue = "agrar.403", id_folder)
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viewMatchingTweets(date = "2014-08-01", issue = "agrar.403", id_folder)
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issuelist <- xmlToList("issues.xml")
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issuelist
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issuelist[[1]]
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xmlTreeParse(file = "issues.xml")
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View(issues)
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issuelist
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issueheads
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issuelist[[1]]
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issuelist2 <- xmlTreeParse(file = "issues.xml")
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issuelist2[[1]]
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issuelist2[[2]]
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issuelist2[[1,2]]
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issuelist2[1
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issuelist2[1]
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issuelist2$doc$file
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issuelist2$doc$version
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xmlParse("issues.xml")
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issuelist2 <- xmlParse("issues.xml")
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issuelist2[1]
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issuelist2[2]
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issuelist2
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issuelist
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issuelist$edu.606
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issuelist$edu.606[1]
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issuelist$edu.606[2]
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issuelist$edu.606[3]
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issueheads
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issuelist$macro.100
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length(issuelist$macro.100)
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length(issuelist$macro.101)
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length(issuelist$macro.103)
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length(issuelist$macro.105)
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issuelist$macro.105
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issuelist$macro.105[2]
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issueheads
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as.character(issuelist[[1]])
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as.character(issuelist[[2]])
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test <- issueheads[1]
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test
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as.character(issuelist$test)
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as.character(issuelist$macro.100)
|
|
as.character(issuelist[test])
|
|
as.character(issuelist[test,1])
|
|
as.character(issuelist[1,test])
|
|
as.character(issuelist[test])
|
|
issuelist[test]
|
|
issuelist[test]
|
|
length(issuelist[test])
|
|
length(issuelist$macro.100)
|
|
issuelist$macro.100
|
|
test
|
|
issuelist[test]
|
|
issuelist[,test]
|
|
issuelist[,as.character(test)]
|
|
issuelist[[test]]
|
|
issuelist[,test]
|
|
issuelist[test]
|
|
issuelist[[test]]
|
|
length(issuelist[[test]])
|
|
issuelist[[test]]
|
|
issuelist[[test]][1]
|
|
as.character(issuelist[[test]][1])
|
|
as.character(issuelist[[test]])
|
|
issueheads
|
|
issueheads[2]
|
|
as.character(issuelist[[i]])
|
|
as.character(issuelist[[1]])
|
|
as.character(issuelist[[test]])
|
|
i <- 1
|
|
curissue <- issueheads[i]
|
|
curtags <- as.character(issuelist[[curissue]])
|
|
curfile <- str_c(id_folder,"/",curissue,".csv")
|
|
curissue
|
|
curtags
|
|
curfile
|
|
curtags[2]
|
|
# MATCH TWEETS ------------------------------------------------------------
|
|
id_folder <- "matched-ids"
|
|
unlink(id_folder, recursive = TRUE)
|
|
dir.create(id_folder)
|
|
issues <- data.frame(date = drange)
|
|
issuelist <- xmlToList("issues.xml")
|
|
issueheads <- names(issuelist)
|
|
issues[issueheads] <- 0
|
|
tweets$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$text[t])
|
|
curtext <- str_replace_all(curtext, "#", "")
|
|
curid <- as.character(tweets_curday$id_str[t])
|
|
# Now test each single issue (not tag!)
|
|
for(i in 1:length(issueheads)) {
|
|
curissue <- issueheads[i]
|
|
curtags <- as.character(issuelist[[curissue]])
|
|
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
|
|
smartPatternMatch(string = "er ist pädophil ", pattern = "pädophilie", chars = 10, acronym = FALSE)
|
|
smartPatternMatch(string = "er ist pädophiler ", pattern = "pädophilie", chars = 10, acronym = FALSE)
|
|
smartPatternMatch(string = "er ist pädophiler ", pattern = "Pädophilie", chars = 10, acronym = FALSE)
|
|
smartPatternMatch(string = "er ist pädophiles ", pattern = "Pädophilie", chars = 10, acronym = FALSE)
|
|
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 <- ""
|
|
issueheads
|
|
issuelist <- xmlToList("issues.xml")
|
|
issuelist
|
|
issueheads
|
|
View(issues)
|
|
issuelist$text
|
|
issuelist$macro.100
|
|
issuelist$macro.101
|
|
issuelist$text
|
|
issuelist$text <- NULL
|
|
issueheads <- names(issuelist)
|
|
issueheads
|
|
issuelist
|
|
issuelist$text <- ""
|
|
issuelist
|
|
issuelist$text <- NA
|
|
issuelist
|
|
issuelist$text
|
|
issuelist$text[1]
|
|
issuelist$text[2]
|
|
issuelist$text[6]
|
|
issuelist$text[10]
|
|
issues <- data.frame(date = drange)
|
|
issuelist <- xmlToList("issues.xml")
|
|
issues <- data.frame(date = drange)
|
|
issuelist <- xmlToList("issues.xml")
|
|
issueheads <- names(issuelist)
|
|
issues[issueheads] <- 0
|
|
tweets$issue <- ""
|
|
tweets$tags <- ""
|
|
View(tweets)
|