first run complete
This commit is contained in:
@@ -1,88 +1,3 @@
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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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tagexpand <- c("", "s", "n", "en", "er", "e")
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# Parallelisation
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writeLines(c(""), "issuecomp-analysis.log")
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cl<-makeCluster(4)
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registerDoParallel(cl)
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foreach(d = 1:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
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#for(d in 1:nrow(issues)) {
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# Go through every day
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curdate <- issues$date[d]
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cat(paste(as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
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# Put all tweets from specific day in a temporary DF
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tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
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for(t in 1:nrow(tweets_curday)){
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# cat(paste("Starting tweet", t, "of",as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
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# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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curtext <- as.character(tweets_curday$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(issueheads)) {
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curissue <- issueheads[i]
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curtags <- as.character(issuelist[[curissue]])
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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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# Now expand the current tag by possible suffixes that may be plural forms
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if(!curacro) {
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for(e in 1:length(tagexpand)) {
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curtag[e] <- str_c(curtag[1], tagexpand[e])
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}
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}
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# Set Levenshtein distance depending on char length
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if(curchars <= 4) {
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curdistance <- 0
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} else {
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curdistance <- 1
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}
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# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow also 1 (Levenshtein distance)
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tags_found <- NULL
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# Match the tweet with each variation of tagexpand
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for(e in 1:length(curtag)) {
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tags_found[e] <- smartPatternMatch(curtext, curtag[e], curdistance, curacro)
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}
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tags_found <- any(tags_found)
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curtag <- curtag[1]
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if(tags_found == TRUE) {
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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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#
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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,"\";",curissue,";",curtag), curfile, append = TRUE)
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cat(paste("Match!\n"), file="issuecomp-analysis.log", append=TRUE)
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# data.frame(date=curdate, issue=curissue)
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break # next issue, no more tags from same issue
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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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stopCluster(cl)
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require(lubridate)
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require(XML)
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require(ggplot2)
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require(reshape2)
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require(stringr)
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library(foreach)
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library(doParallel)
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@@ -510,3 +425,88 @@ else {
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} # /for issuelist
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} # /for tweets_curday
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} # /for drange
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require(lubridate)
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require(XML)
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require(ggplot2)
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require(reshape2)
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require(stringr)
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library(foreach)
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library(doParallel)
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cl<-makeCluster(3)
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registerDoParallel(cl)
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foreach(d = 101:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
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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(paste(as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
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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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# cat(paste("Starting tweet", t, "of",as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
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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(issueheads)) {
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curissue <- issueheads[i]
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curtags <- as.character(issuelist[[curissue]])
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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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# Now expand the current tag by possible suffixes that may be plural forms
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if(!curacro) {
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for(e in 1:length(tagexpand)) {
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curtag[e] <- str_c(curtag[1], tagexpand[e])
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}
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}
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# Set Levenshtein distance depending on char length
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if(curchars <= 4) {
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curdistance <- 0
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} else {
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curdistance <- 1
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}
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# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow also 1 (Levenshtein distance)
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tags_found <- NULL
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# Match the tweet with each variation of tagexpand
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for(e in 1:length(curtag)) {
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tags_found[e] <- smartPatternMatch(curtext, curtag[e], curdistance, curacro)
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}
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tags_found <- any(tags_found)
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curtag <- curtag[1]
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if(tags_found == TRUE) {
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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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#
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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,"\";",curissue,";",curtag), curfile, append = TRUE)
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# cat(paste("Match!\n"), file="issuecomp-analysis.log", append=TRUE)
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# data.frame(date=curdate, issue=curissue)
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break # next issue, no more tags from same issue
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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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stopCluster(cl)
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drange[200]
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drange[300]
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drange[280]
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drange[270]
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drange[259]
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@@ -37,10 +37,10 @@ tagexpand <- c("", "s", "n", "en", "er", "e")
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# Parallelisation
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writeLines(c(""), "issuecomp-analysis.log")
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cl<-makeCluster(3)
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cl<-makeCluster(4)
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registerDoParallel(cl)
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foreach(d = 101:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
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foreach(d = 260:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
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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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@@ -108,3 +108,271 @@
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