current status
This commit is contained in:
@@ -1,389 +1,3 @@
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source("issuecomp-codingsample-function2.R")
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}
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if(c_errcode == "1") {
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#cat("Which issue is incorrect?\n")
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repeat {
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c_tag <- readYN("Which issue is incorrect?: ")
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c_tag <- unlist(str_split(c_tag, ";"))
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for(i in 1:length(c_tag)) {
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if(checkIssue(c_tag[i], c_issueheads)) {status[i] <- TRUE} else {cat("Issue",c_tag[i],"does not exist. Please try again.\n")}
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}
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if(all(status)) {
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break
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}
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}
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if(c_errcode == "1") {
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#cat("Which issue is incorrect?\n")
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repeat {
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c_tag <- readYN("Which issue is incorrect?: ")
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c_tag <- unlist(str_split(c_tag, ";"))
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for(i in 1:length(c_tag)) {
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if(checkIssue(c_tag[i], c_issueheads)) {status[i] <- TRUE} else {cat("Issue",c_tag[i],"does not exist. Please try again.\n")}
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}
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if(all(status)) {
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break
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}
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}
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}
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wdq
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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source("issuecomp-codingsample-function2.R")
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[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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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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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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checkAllIssues <- function(string, issuelist) {
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string <- unlist(str_split(string, ";"))
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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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}
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test
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checkAllIssues <- function(string, issuelist) {
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string <- unlist(str_split(string, ";"))
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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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test <- "issue.edathy"
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checkAllIssues(test, c_issueheads)
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test <- "issue.edathy"
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checkAllIssues(test, c_issueheads)
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rm(status)
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checkAllIssues(test, c_issueheads)
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checkAllIssues <- function(string, issuelist) {
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status <- NULL
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string <- unlist(str_split(string, ";"))
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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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checkAllIssues(test, c_issueheads)
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checkAllIssues("wdjqaowd", c_issueheads)
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test <- checkAllIssues("wdjqaowd", c_issueheads)
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test
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test <- checkAllIssues("wdjqaow;wiqud", c_issueheads)
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test
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test <- checkAllIssues("wdjqaow;issue.edathy", c_issueheads)
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test
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checkAllIssues <- function(string, issuelist) {
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status <- NULL
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string <- unlist(str_split(string, ";"))
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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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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[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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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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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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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[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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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_issues)
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View(tweets)
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tweets$tagged <- NULL
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View(c_tweets)
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View(tweets)
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# MATCH TWEETS ------------------------------------------------------------
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id_folder <- "matched-ids"
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unlink(id_folder, recursive = TRUE)
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dir.create(id_folder)
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issues <- data.frame(date = drange)
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issuelist <- xmlToList("issues.xml")
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issueheads <- names(issuelist)
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issues[issueheads] <- 0
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tweets$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$text[t])
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curtext <- str_replace_all(curtext, "#", "")
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curtext <- str_replace_all(curtext, "$", " ")
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curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
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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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date_start <- as.Date("2014-01-01")
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date_end <- as.Date("2014-12-31")
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drange <- as.integer(date_end - date_start)
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drange <- date_start + days(0:drange)
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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$text[t])
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curtext <- str_replace_all(curtext, "#", "")
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curtext <- str_replace_all(curtext, "$", " ")
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curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
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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(tweets)
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View(tweets)
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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$text[t])
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curtext <- str_replace_all(curtext, "#", "")
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curtext <- str_replace_all(curtext, "$", " ")
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curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
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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(tweets)
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View(c_errors)
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View(tweets)
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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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View(tweets)
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View(tweets)
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write.csv(tweets, "tweets.csv")
|
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save(tweets, file="tweets.RData")
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write.csv(tweets, "tweets.csv")
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save(tweets, file="tweets.RData")
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c_tweets <- read.csv("tweets.csv")
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View(c_tweets)
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c_tweets$X <- NULL
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# Read all issues from XML file
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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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rm(c_err, c_result, c_samid, c_samno,c_samtags,c_samissue,c_samtext,c_yn)
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rm(c_samtag)
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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$code[r])
|
||||
@@ -510,3 +124,389 @@ acc_df <- acc_df[-delrow, ]
|
||||
rm(delrow, r, acc)
|
||||
acc_df$row.names <- NULL
|
||||
row.names(acc_df) <- NULL
|
||||
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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source("issuecomp-functions.R")
|
||||
load("tweets.RData")
|
||||
View(tweets)
|
||||
View(tweets)
|
||||
View(tweets)
|
||||
date_start <- as.Date("2014-01-01")
|
||||
date_start + days
|
||||
date_start + days(1)
|
||||
date_start + days(0)
|
||||
date_start + days(0:2)
|
||||
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)
|
||||
curdate <- date_start + days(2)
|
||||
curdate
|
||||
tweets[tweets[, "created_at"] == curdate, "msg_id"]
|
||||
View(tweets)
|
||||
curdate
|
||||
tweets[tweets[, "created_at"] == "2014-01-01", "msg_id"]
|
||||
tweets[tweets[, "created_at"] == curdate, "id_str"]
|
||||
drange
|
||||
length(tweets[tweets[, "created_at"] == curdate, "id_str"])
|
||||
length(tweets[tweets[, "created_at"] == curdate+1, "id_str"])
|
||||
length(tweets[tweets[, "created_at"] == curdate+15, "id_str"])
|
||||
stats <- data.frame(x=NULL)
|
||||
View(stats)
|
||||
stats <- data.frame(date=drange)
|
||||
View(stats)
|
||||
stats$tpd <- NULL
|
||||
stats$tpd <- ""
|
||||
stats$tpd <- NULL
|
||||
stats$tpd[1] <- 2
|
||||
View(stats)
|
||||
stats$tpd[2] <- 3
|
||||
View(stats)
|
||||
stats$tpd <- ""
|
||||
stats$tpd <- NULL
|
||||
stats$tpd <- ""
|
||||
stats$tpd[1] <- 2
|
||||
View(tweets)
|
||||
View(stats)
|
||||
stats <- data.frame(date=drange)
|
||||
stats$tpd <- ""
|
||||
# Total number of tweets per day over time
|
||||
for(r in 1:length(drange)) {
|
||||
stats$tpd[r] <- length(tweets[tweets[, "created_at"] == curdate, "id_str"])
|
||||
}
|
||||
View(stats)
|
||||
drange[2]
|
||||
stats <- data.frame(date=drange)
|
||||
stats$tpd <- ""
|
||||
# Total number of tweets per day over time
|
||||
for(r in 1:length(drange)) {
|
||||
stats$tpd[r] <- length(tweets[tweets[, "created_at"] == drange[r], "id_str"])
|
||||
}
|
||||
View(stats)
|
||||
plot.ts(x = stats$tpd, y=stats$date)
|
||||
plot.ts(x = stats$date, y=stats$tpd)
|
||||
g1 <- ggplot(stats, aes(date,tpd))
|
||||
g1 <- g1 + geom_histogram(fill="steelblue", stat="identity")
|
||||
g1 <- g1 + stat_smooth(size=1,colour="red",method="loess", se=FALSE)
|
||||
g1 <- gg1 + ggtitle("Zeitliche Entwicklung von plötzlichen Medienfokussen") + xlab("Einzelne Monate") + ylab("Plötzliche Medienfokusse")
|
||||
g1
|
||||
g1 <- ggplot(stats, aes(date,tpd))
|
||||
g1 <- g1 + geom_histogram(fill="steelblue", stat="identity")
|
||||
g1
|
||||
g1 <- g1 + stat_smooth(size=1,colour="red",method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot(stats, aes(date,tpd))
|
||||
g1 <- g1 + geom_line()
|
||||
g1
|
||||
g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd, color=black))
|
||||
g1
|
||||
g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd, color="black"))
|
||||
g1
|
||||
g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
|
||||
g1
|
||||
ggplot(stats, aes(date, tpd)) + geom_line() +
|
||||
scale_x_date(format = "%b-%Y") + xlab("") + ylab("Daily Views")
|
||||
ggplot(stats, aes(date, tpd)) + geom_line() +
|
||||
scale_x_date() + xlab("") + ylab("Daily Views")
|
||||
lapply(stats, class)
|
||||
stats$tpd <- 0
|
||||
lapply(stats, class)
|
||||
stats <- data.frame(date=drange)
|
||||
stats$tpd <- 0
|
||||
# Total number of tweets per day over time
|
||||
for(r in 1:length(drange)) {
|
||||
stats$tpd[r] <- length(tweets[tweets[, "created_at"] == drange[r], "id_str"])
|
||||
}
|
||||
View(stats)
|
||||
plot.ts(x = stats$date, y=stats$tpd)
|
||||
g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
|
||||
g1
|
||||
ggplot(stats, aes(date, tpd)) + geom_line() +
|
||||
scale_x_date() + xlab("") + ylab("Daily Views")
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
stats_smooth(size=1,colour="red",method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
stat_smooth(size=1,colour="red",method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
stat_smooth(colour="red",method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
stat_smooth(colour="red",method="lm", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
geom_smooth(colour="red",method="lm", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
geom_smooth(colour="red",method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() +
|
||||
geom_line(data = stats, aes(x=date,y=tpd)) +
|
||||
geom_smooth(size=1,colour="red",method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- g1 + geom_smooth(size=1,colour="red", method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
|
||||
g1 <- g1 + geom_smooth(size=1,colour="red", method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
|
||||
g1
|
||||
g1 + geom_smooth()
|
||||
g1 + geom_smqwd
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd))
|
||||
g1
|
||||
g1 <- g1 + geom_smooth(size=1,colour="red", method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd))
|
||||
g1 <- g1 + geom_smooth(size=1,method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd))
|
||||
g1 <- g1 + geom_smooth(size=1,method="loess", se=FALSE, aes(group=1))
|
||||
g1
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd)) +
|
||||
geom_smooth(size=1,method="loess", se=FALSE, aes(group=1))
|
||||
g1
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd)) +
|
||||
geom_smooth(size=1,method="loess", se=FALSE, aes(x = date, y=tpd))
|
||||
g1
|
||||
geom_smooth(size=1,method="loess", se=FALSE)
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd)) +
|
||||
geom_smooth(size=1,method="loess", se=FALSE)
|
||||
g1
|
||||
plot.ts(x = stats$date, y=stats$tpd)
|
||||
g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd, color=group)) +
|
||||
geom_smooth(size=1,method="loess", se=FALSE)
|
||||
g1
|
||||
install.packages(c("BH", "bibtex", "devtools", "dplyr", "httr", "jsonlite", "lazyeval", "manipulate", "RCurl", "ROAuth", "rstudioapi", "sp", "stringi"))
|
||||
g1 <- ggplot(data = stats, aes(x=date,y=tpd, color=variable, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE)
|
||||
g1
|
||||
stats_melt <- melt(stats, id="date")
|
||||
View(stats_melt)
|
||||
View(stats_melt)
|
||||
stats_melt <- melt(stats, id="date")
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=variable, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=1, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE)
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=1, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, colors="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=1, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color="black", group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color="yellow", group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour="black", group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour="#FFFFFF", group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour="vqwdqw", group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour=variable, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour=1, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour=variable, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color=1)
|
||||
g1
|
||||
require(lubridate)
|
||||
require(XML)
|
||||
require(ggplot2)
|
||||
require(reshape2)
|
||||
require(stringr)
|
||||
source("issuecomp-functions.R")
|
||||
rm(curdate)
|
||||
rm(date_end, date_start)
|
||||
rm(g1, r, )
|
||||
rm(g1, r)
|
||||
id_folder <- "matched-ids"
|
||||
unlink(id_folder, recursive = TRUE)
|
||||
dir.create(id_folder)
|
||||
issues <- data.frame(date = drange)
|
||||
View(issues)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issuelist
|
||||
issueheads <- names(issuelist)
|
||||
issueheads
|
||||
issues[issueheads] <- 0
|
||||
tweets$issue <- ""
|
||||
tweets$tags <- ""
|
||||
View(issues)
|
||||
# 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(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) {
|
||||
# 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
|
||||
View(issues)
|
||||
# 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(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) {
|
||||
# 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
|
||||
#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)
|
||||
View(issues)
|
||||
save(issues, "issues.RData")
|
||||
save(issues, file="issues.RData")
|
||||
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)
|
||||
}
|
||||
require(stringr)
|
||||
require(XML)
|
||||
|
||||
Reference in New Issue
Block a user