513 lines
19 KiB
R
513 lines
19 KiB
R
require(stringr)
|
|
library(foreach)
|
|
library(doParallel)
|
|
# MATCH TWEETS ------------------------------------------------------------
|
|
id_folder <- "matched-ids"
|
|
unlink(id_folder, recursive = TRUE)
|
|
dir.create(id_folder)
|
|
issues <- data.frame(date = drange)
|
|
issuelist <- readLines("issues.xml")
|
|
issuelist <- str_replace_all(string = issuelist, pattern = ".*<!-- .+ -->", "")
|
|
issuelist <- xmlToList(issuelist)
|
|
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
|
|
require(lubridate)
|
|
require(XML)
|
|
require(ggplot2)
|
|
require(reshape2)
|
|
require(stringr)
|
|
library(foreach)
|
|
library(doParallel)
|
|
# MATCH TWEETS ------------------------------------------------------------
|
|
id_folder <- "matched-ids"
|
|
unlink(id_folder, recursive = TRUE)
|
|
dir.create(id_folder)
|
|
issues <- data.frame(date = drange)
|
|
issuelist <- readLines("issues.xml")
|
|
issuelist <- str_replace_all(string = issuelist, pattern = ".*<!-- .+ -->", "")
|
|
issuelist <- xmlToList(issuelist)
|
|
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
|
|
stopCluster(cl)
|
|
drange
|
|
drange[40]
|
|
drange[50]
|
|
View(issues)
|
|
require(lubridate)
|
|
require(XML)
|
|
require(ggplot2)
|
|
require(reshape2)
|
|
require(stringr)
|
|
library(foreach)
|
|
library(doParallel)
|
|
drange[70]
|
|
drange[80]
|
|
drange[90]
|
|
cl<-makeCluster(4)
|
|
registerDoParallel(cl)
|
|
foreach(d = 51:90, .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)
|
|
drange[121]
|
|
cl<-makeCluster(4)
|
|
registerDoParallel(cl)
|
|
foreach(d = 91:120, .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[102]
|
|
require(lubridate)
|
|
require(XML)
|
|
require(ggplot2)
|
|
require(reshape2)
|
|
require(stringr)
|
|
library(foreach)
|
|
library(doParallel)
|
|
cl<-makeCluster(4)
|
|
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
|
|
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]
|