513 lines
19 KiB
R
513 lines
19 KiB
R
# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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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##############
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if(curchars <= 4 || curacro || curhash) {
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cat("distance 0\n")
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} else {
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cat("distance 1\n")
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}
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curtag <- "EURATOM"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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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##############
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if(curchars <= 4 || curacro || curhash) {
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cat("distance 0\n")
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} else {
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cat("distance 1\n")
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}
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curtag <- "Energiewende"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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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##############
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if(curchars <= 4 || curacro || curhash) {
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cat("distance 0\n")
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} else {
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cat("distance 1\n")
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}
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curtag <- "bnd"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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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##############
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if(curchars <= 4 || curacro || curhash) {
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cat("distance 0\n")
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} else {
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cat("distance 1\n")
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}
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curtag <- "#WM"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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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##############
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if(curchars <= 4 || curacro || curhash) {
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cat("distance 0\n")
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} else {
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cat("distance 1\n")
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}
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curtag
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curtag <- "Energiewende"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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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##############
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if(curchars <= 4 || curacro || curhash) {
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cat("distance 0\n")
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} else {
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cat("distance 1\n")
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}
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curtag <- "Energiewende"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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, acronym and hashtag status
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if(curchars <= 4 || curacro || curhash) {
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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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curtag
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smartPatternMatch("Die Energiewende ist toll!", curtag, curdistance, curacro)
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smartPatternMatch("Die Energiewende ist toll!", curtag[1], curdistance, curacro)
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smartPatternMatch("Die Energiewende ist toll!", curtag[2], curdistance, curacro)
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smartPatternMatch("Die Energiewende ist toll!", sprintf("%s", curtag), curdistance, curacro)
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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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curtext <- "Die Energiewende ist toll!"
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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
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curtag
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curtag <- "#WM2014"
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curtext <- "Ich freu mich auf wm2014 sehr"
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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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curacro <- checkAcronym(string = curtag)
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# Check if tag is some kind of specific hashtag. If so, do not handle as acronym, but don't expand it either
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if(str_detect(curtag, "^#")) {
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curacro <- FALSE
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curhash <- TRUE
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curtag <- str_replace(curtag, "#", "")
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curchars <- curchars - 1
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} else {
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curhash <- 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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# Only do if it isn't an acronym or specific hastag
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if(!curacro && !curhash) {
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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, acronym and hashtag status
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if(curchars <= 4 || curacro || curhash) {
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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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tags_found
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curtag
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curtext
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curdistance
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test <- VAR(issues[,2:32], p=3, type=c("const", "trend", "both", "none"), season=NULL, exogen = NULL, lag.max = NULL, ic = c("AIC", "HQ", "SC", "FPE"))
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test
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test <- VAR(issues[,2:32], p=1, type="none")
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capture.output(print(summary(test), prmsd=TRUE, digits=1), file="out.txt")
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View(issues)
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test <- VAR(issues_i[,2:22], p=1, type="none", exogen = issues_s[,2])
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test <- VAR(issues_i[,2:22], p=1, type="none", exogen = issues_s[,2:3])
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capture.output(print(summary(test), prmsd=TRUE, digits=1), file="out.txt")
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irf(test)
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test <- VAR(issues_s[,2:11], p=1, type="none")
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irf(test)
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plot(irf(test))
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test <- VAR(issues[,2:32], p=1, type="none")
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plot(irf(test, impulse = names(issues_s[2:11]), response = names(issues_i[2:22])))
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plot(irf(test, impulse = names(issues_s[2:11]), response = names(issues_i[2:22]), n.ahead = 5))
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require(stringr)
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require(XML)
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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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write.csv(tweets, file="tweets.csv")
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c_tweets <- read.csv("tweets.csv", colClasses="character")
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View(c_tweets)
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c_tweets$X <- NULL
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c_issues <- data.frame(date = drange)
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c_issuelist <- xmlToList("issues.xml")
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c_issueheads <- names(issuelist)
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c_issues[issueheads] <- 0
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source("issuecomp-codingsample-function.R")
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rm(c_err, c_result, c_samid, c_samno,c_samtags,c_samissue,c_samtext,c_yn)
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c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
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View(c_errors)
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names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
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View(c_errors)
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
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names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", 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$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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tagexpand
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source("issuecomp-codingsample-function.R")
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source("issuecomp-codingsample-function.R")
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source("issuecomp-codingsample-function.R")
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c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
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names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", 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$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", 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$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$code[r])
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c_errissue <- as.character(c_errors$issue[r])
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c_errtags <- as.character(c_errors$tags[r])
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c_errtext <- as.character(c_errors$text[r])
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c_errid <- as.character(c_errors$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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c_tmp <- read.csv("issuecomp-codingsample-error1.csv", header = F, colClasses="character")
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View(c_tmp)
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View(c_errors)
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View(c_tmp)
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names(c_tmp) <- c("str_id", "all", "wrong", "tags", "text")
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View(c_tmp)
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c_tmp[, c("wrong", "tagged", "all", "text")]
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View(c_tmp)
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names(c_tmp) <- c("str_id", "all", "wrong", "tagged", "text")
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c_tmp[, c("wrong", "tagged", "all", "text")]
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c_error1 <- c_tmp[, c("wrong", "tagged", "all", "text")]
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View(c_error1)
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c_tmp <- read.csv("issuecomp-codingsample-error2.csv", header = F, colClasses="character")
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View(c_tmp)
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c_tmp <- read.csv("issuecomp-codingsample-error2.csv", header = F, colClasses="character")
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names(c_tmp) <- c("str_id", "all", "missing", "tagged", "text")
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c_error1 <- c_tmp[, c("missing", "tagged", "all", "text")]
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c_error2 <- c_tmp[, c("missing", "tagged", "all", "text")]
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View(c_error2)
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|
c_error2 <- c_tmp[, c("missing", "text", "tagged", "all")]
|
|
View(c_error2)
|
|
View(c_error1)
|
|
View(c_error2)
|
|
c_tmp <- read.csv("issuecomp-codingsample-correct.csv", header = F, colClasses="character")
|
|
View(c_tmp)
|
|
names(c_tmp) <- c("str_id", "status", "issue", "tags", "text")
|
|
View(c_tmp)
|
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c_currect <- c_tmp
|
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c_correct <- c_tmp
|
|
rm(c_currect)
|
|
View(c_correct)
|
|
source("issuecomp-codingsample-function.R")
|
|
rm(c_err, c_result, c_samid, c_samno,c_samtags,c_samissue,c_samtext,c_yn)
|
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c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
|
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
|
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
|
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
|
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character", quote = "")
|
|
View(c_errors)
|
|
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
|
test <- "Zitat "total dämlich!""
|
|
tweets$id_str == "523512815425175552"
|
|
tweets[tweets$id_str == "523512815425175552"]
|
|
tweets[tweets$id_str == "523512815425175552", ]
|
|
tweets[tweets$id_str == "523512815425175552", "text"]
|
|
test <- tweets[tweets$id_str == "523512815425175552", "text"]
|
|
test
|
|
test <- c_tweets[ctweets$id_str == "523512815425175552", "text"]
|
|
test <- c_tweets[c_tweets$id_str == "523512815425175552", "text"]
|
|
test
|
|
str_replace(test, "\\"", ")
|
|
str_replace(test, "\\"", "")
|
|
str_replace(test, "\"", "")
|
|
str_detect(test, "\"")
|
|
test <- as.character(c_tweets[c_tweets$id_str == "523512815425175552", "text"])
|
|
test
|
|
c_tweets <- read.csv("tweets.csv", colClasses="character")
|
|
for(r in 1:nrow(c_tweets)) {
|
|
curtext <- as.character(c_tweets$text[r])
|
|
if(str_detect(curtext, "\"") {
|
|
c_tweets$text[r] <- str_replace(curtext, "\"", "")
|
|
}
|
|
}
|
|
for(r in 1:nrow(c_tweets)) {
|
|
curtext <- as.character(c_tweets$text[r])
|
|
if(str_detect(curtext, "\"") {
|
|
c_tweets$text[r] <- str_replace(curtext, "\"", "")
|
|
} else {}
|
|
}
|
|
for(r in 1:nrow(c_tweets)) {
|
|
curtext <- as.character(c_tweets$text[r])
|
|
if(str_detect(curtext, "\"") {
|
|
c_tweets$text[r] <- str_replace(curtext, "\"", "")
|
|
} else {
|
|
}
|
|
}
|
|
for(r in 1:nrow(c_tweets)) {
|
|
curtext <- as.character(c_tweets$text[r])
|
|
if(str_detect(curtext, "\"")) {
|
|
c_tweets$text[r] <- str_replace(curtext, "\"", "")
|
|
}
|
|
}
|
|
test <- as.character(c_tweets[c_tweets$id_str == "523512815425175552", "text"])
|
|
test
|
|
View(c_tweets)
|
|
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
|
View(c_errors)
|
|
names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
|
|
View(c_errors)
|
|
for(r in 1:nrow(c_errors)) {
|
|
c_errcode <- as.character(c_errors$code[r])
|
|
c_errissue <- as.character(c_errors$issue[r])
|
|
c_errtags <- as.character(c_errors$tags[r])
|
|
c_errtext <- as.character(c_errors$text[r])
|
|
c_errid <- as.character(c_errors$str_id[r])
|
|
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
|
|
source("issuecomp-codingsample-function2.R")
|
|
}
|
|
issueheads
|
|
for(r in 1:nrow(c_errors)) {
|
|
c_errcode <- as.character(c_errors$code[r])
|
|
c_errissue <- as.character(c_errors$issue[r])
|
|
c_errtags <- as.character(c_errors$tags[r])
|
|
c_errtext <- as.character(c_errors$text[r])
|
|
c_errid <- as.character(c_errors$str_id[r])
|
|
cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
|
|
source("issuecomp-codingsample-function2.R")
|
|
}
|
|
# All tweets with WRONG ISSUES
|
|
c_tmp <- read.csv("issuecomp-codingsample-error1.csv", header = F, colClasses="character")
|
|
names(c_tmp) <- c("str_id", "all", "wrong", "tagged", "text")
|
|
c_error1 <- c_tmp[, c("wrong", "tagged", "all", "text")]
|
|
# All tweets with MISSING ISSUES
|
|
c_tmp <- read.csv("issuecomp-codingsample-error2.csv", header = F, colClasses="character")
|
|
names(c_tmp) <- c("str_id", "all", "missing", "tagged", "text")
|
|
c_error2 <- c_tmp[, c("missing", "text", "tagged", "all")]
|
|
# All CORRECT tweets
|
|
c_tmp <- read.csv("issuecomp-codingsample-correct.csv", header = F, colClasses="character")
|
|
names(c_tmp) <- c("str_id", "status", "issue", "tags", "text")
|
|
c_correct <- c_tmp
|
|
View(c_error1)
|
|
View(c_error2)
|
|
View(c_error1)
|
|
View(c_correct)
|
|
test <- VAR(issues_i[,2:22], p=1, type="none", exogen = issues_s[,2:3])
|
|
plot(irf(test, impulse = names(issues_s[2:11]), response = names(issues_i[2:22])))
|
|
test <- VAR(issues[,2:32], p=1, type="none")
|
|
plot(irf(test, impulse = names(issues_s[2:11]), response = names(issues_i[2:22])))
|
|
VARselect(issues[,2:32], lag.max=8, type="none")
|
|
VARselect(issues[,2:32], lag.max=8, type="both")
|
|
VARselect(issues[,2:32], lag.max=30, type="both")
|
|
VARselect(issues[,2:32], lag.max=15, type="both")
|