diff --git a/.Rhistory b/.Rhistory
index ed88fc5..e0e8af3 100644
--- a/.Rhistory
+++ b/.Rhistory
@@ -1,88 +1,3 @@
-issueheads <- names(issuelist)
-issues[issueheads] <- 0
-tweets$issue <- ""
-tweets$tags <- ""
-tagexpand <- c("", "s", "n", "en", "er", "e")
-# Parallelisation
-writeLines(c(""), "issuecomp-analysis.log")
-cl<-makeCluster(4)
-registerDoParallel(cl)
-foreach(d = 1:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
-#for(d in 1:nrow(issues)) {
-# Go through every day
-curdate <- issues$date[d]
-cat(paste(as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
-# Put all tweets from specific day in a temporary DF
-tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
-for(t in 1:nrow(tweets_curday)){
-#     cat(paste("Starting tweet", t, "of",as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
-curtext <- as.character(tweets_curday$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
-}
-# Now expand the current tag by possible suffixes that may be plural forms
-if(!curacro) {
-for(e in 1:length(tagexpand)) {
-curtag[e] <- str_c(curtag[1], tagexpand[e])
-}
-}
-# Set Levenshtein distance depending on char length
-if(curchars <= 4) {
-curdistance <- 0
-} else {
-curdistance <- 1
-}
-# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow also 1 (Levenshtein distance)
-tags_found <- NULL
-# Match the tweet with each variation of tagexpand
-for(e in 1:length(curtag)) {
-tags_found[e] <- smartPatternMatch(curtext, curtag[e], curdistance, curacro)
-}
-tags_found <- any(tags_found)
-curtag <- curtag[1]
-if(tags_found == TRUE) {
-#           # 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,"\";",curissue,";",curtag), curfile, append = TRUE)
-cat(paste("Match!\n"), file="issuecomp-analysis.log", append=TRUE)
-#           data.frame(date=curdate, issue=curissue)
-break   # next issue, no more tags from same issue
-}
-else {
-#cat("Nothing found\n")
-}
-} # /for curtags
-} # /for issuelist
-} # /for tweets_curday
-} # /for drange
-#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)
-stopCluster(cl)
-require(lubridate)
-require(XML)
-require(ggplot2)
-require(reshape2)
 require(stringr)
 library(foreach)
 library(doParallel)
@@ -510,3 +425,88 @@ else {
 } # /for issuelist
 } # /for tweets_curday
 } # /for drange
+require(lubridate)
+require(XML)
+require(ggplot2)
+require(reshape2)
+require(stringr)
+library(foreach)
+library(doParallel)
+cl<-makeCluster(3)
+registerDoParallel(cl)
+foreach(d = 101:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
+#for(d in 1:nrow(issues)) {
+# Go through every day
+curdate <- issues$date[d]
+cat(paste(as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
+# Put all tweets from specific day in a temporary DF
+tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
+for(t in 1:nrow(tweets_curday)){
+#     cat(paste("Starting tweet", t, "of",as.character(curdate),"\n"), file="issuecomp-analysis.log", append=TRUE)
+# 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
+}
+# Now expand the current tag by possible suffixes that may be plural forms
+if(!curacro) {
+for(e in 1:length(tagexpand)) {
+curtag[e] <- str_c(curtag[1], tagexpand[e])
+}
+}
+# Set Levenshtein distance depending on char length
+if(curchars <= 4) {
+curdistance <- 0
+} else {
+curdistance <- 1
+}
+# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow also 1 (Levenshtein distance)
+tags_found <- NULL
+# Match the tweet with each variation of tagexpand
+for(e in 1:length(curtag)) {
+tags_found[e] <- smartPatternMatch(curtext, curtag[e], curdistance, curacro)
+}
+tags_found <- any(tags_found)
+curtag <- curtag[1]
+if(tags_found == TRUE) {
+#           # 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,"\";",curissue,";",curtag), curfile, append = TRUE)
+#           cat(paste("Match!\n"), file="issuecomp-analysis.log", append=TRUE)
+#           data.frame(date=curdate, issue=curissue)
+break   # next issue, no more tags from same issue
+}
+else {
+#cat("Nothing found\n")
+}
+} # /for curtags
+} # /for issuelist
+} # /for tweets_curday
+} # /for drange
+stopCluster(cl)
+drange[200]
+drange[300]
+drange[280]
+drange[270]
+drange[259]
diff --git a/issuecomp-analysis.R b/issuecomp-analysis.R
index 2f9743a..5f655c1 100644
--- a/issuecomp-analysis.R
+++ b/issuecomp-analysis.R
@@ -37,10 +37,10 @@ tagexpand <- c("", "s", "n", "en", "er", "e")
 
 # Parallelisation
 writeLines(c(""), "issuecomp-analysis.log")  
-cl<-makeCluster(3)
+cl<-makeCluster(4)
 registerDoParallel(cl)
 
-foreach(d = 101:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
+foreach(d = 260:nrow(issues), .packages = c("stringr"), .combine=rbind) %dopar% {
 #for(d in 1:nrow(issues)) {
   # Go through every day
   curdate <- issues$date[d]
diff --git a/issuecomp-analysis.log b/issuecomp-analysis.log
index 0467926..e196e60 100644
--- a/issuecomp-analysis.log
+++ b/issuecomp-analysis.log
@@ -108,3 +108,271 @@
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diff --git a/matched-ids.tar b/matched-ids.tar
index 24dae10..bcf465a 100644
Binary files a/matched-ids.tar and b/matched-ids.tar differ