Browse Source

better year handling, removed early ssh pfadiskn clean, added better twitter-acc-list

mxmehl 5 years ago
parent
commit
b85be742d4
11 changed files with 2779 additions and 578 deletions
  1. BIN
      .RData
  2. 164
    511
      .Rhistory
  3. 62
    35
      extract-twitter-accounts.R
  4. 4
    4
      issuecomp.R
  5. 13
    28
      issues.xml
  6. 100
    0
      issues.xml.long
  7. 737
    0
      merge.txt
  8. 48
    0
      politiker-transform.R
  9. 370
    0
      politiker.csv
  10. 641
    0
      politiker2.csv
  11. 640
    0
      politiker2.txt

BIN
.RData View File


+ 164
- 511
.Rhistory View File

@@ -1,512 +1,165 @@
1
-cat("Positive in", curissue,"\n")
2
-}
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-} # /for issuelist
4
-} # /for tweets_curday
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-} # /for drange
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-d
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-for(d in 1:length(drange)) {
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-# Put all tweets from specific day in a temporary DF
9
-tweets_curday <- tweets[tweets[, "created_at"] == drange[d], ]
10
-for(t in 1:nrow(tweets_curday)){
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-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
12
-curtext <- tolower(as.character(tweets_curday$text[t]))
13
-curtext <- str_replace_all(text, "#", "")
14
-for(i in 1:length(issuelist)) {
15
-curtags <- as.character(issuelist[[i]])
16
-curissue <- names(issuelist)[i]
17
-tags_found <- str_detect(curtext, sprintf("%s", tags))
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-tags_found <- any(tags_found)
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-if(tags_found) {
20
-cat("Positive in", curissue,"from",drange[d],"\n")
21
-}
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-} # /for issuelist
23
-} # /for tweets_curday
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-} # /for drange
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-View(tweets_curday)
26
-tags_found
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-drange[d]
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-as.character(drange[d])
29
-cat(as.character(drange[d]))
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-cat(as.character(drange[d])
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-cat(drange[d])
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-for(d in 1:length(drange)) {
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-# Put all tweets from specific day in a temporary DF
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-tweets_curday <- tweets[tweets[, "created_at"] == drange[d], ]
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-for(t in 1:nrow(tweets_curday)){
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-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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-curtext <- tolower(as.character(tweets_curday$text[t]))
38
-curtext <- str_replace_all(curtext, "#", "")
39
-for(i in 1:length(issuelist)) {
40
-curtags <- as.character(issuelist[[i]])
41
-curissue <- names(issuelist)[i]
42
-tags_found <- str_detect(curtext, sprintf("%s", tags))
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-tags_found <- any(tags_found)
44
-if(tags_found) {
45
-cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
46
-}
47
-} # /for issuelist
48
-} # /for tweets_curday
49
-} # /for drange
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-View(tweets_curday)
51
-curtext
52
-for(i in 1:length(issuelist)) {
53
-curtags <- as.character(issuelist[[i]])
54
-curissue <- names(issuelist)[i]
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-tags_found <- str_detect(curtext, sprintf("%s", tags))
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-tags_found <- any(tags_found)
57
-if(tags_found) {
58
-cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
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-}
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-}
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-tags_found
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-for(d in 1:length(drange)) {
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-# Put all tweets from specific day in a temporary DF
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-tweets_curday <- tweets[tweets[, "created_at"] == drange[d], ]
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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 <- tolower(as.character(tweets_curday$text[t]))
68
-curtext <- str_replace_all(curtext, "#", "")
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-for(i in 1:length(issuelist)) {
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-curtags <- as.character(issuelist[[i]])
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-curissue <- names(issuelist)[i]
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-tags_found <- str_detect(curtext, sprintf("%s", tags))
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-tags_found <- any(tags_found)
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-if(tags_found) {
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-cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
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-}
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-else {
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-cat("Nothing found\n")
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-}
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-} # /for issuelist
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-} # /for tweets_curday
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-} # /for drange
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-View(issues)
84
-curissue
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-issues[1,2]
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-issues[1,]
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-issues[1,curissue]
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-issues[2,curissue]
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-issues[t,curissue]
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-drange[d]
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-issues$date[d]
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-for(d in 1:nrow(issues)) {
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-curdate <- issues$date[d]
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-# Put all tweets from specific day in a temporary DF
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-tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
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-for(t in 1:nrow(tweets_curday)){
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-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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-curtext <- tolower(as.character(tweets_curday$text[t]))
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-curtext <- str_replace_all(curtext, "#", "")
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-for(i in 1:length(issuelist)) {
101
-curtags <- as.character(issuelist[[i]])
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-curissue <- names(issuelist)[i]
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-tags_found <- str_detect(curtext, sprintf("%s", tags))
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-tags_found <- any(tags_found)
105
-if(tags_found) {
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-#cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
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-issues[d,curissue] <- issues[d,curissue] + 1
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-}
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-else {
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-#cat("Nothing found\n")
111
-}
112
-} # /for issuelist
113
-} # /for tweets_curday
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-} # /for drange
115
-View(issues)
116
-tags_found
117
-curtags
118
-curissue
119
-curtext
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-curdate
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-tags
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-issues$issue.edathy <- 0
123
-issues$issue.ttip <- 0
124
-View(issues)
125
-for(d in 1:nrow(issues)) {
126
-curdate <- issues$date[d]
127
-# Put all tweets from specific day in a temporary DF
128
-tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
129
-for(t in 1:nrow(tweets_curday)){
130
-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
131
-curtext <- tolower(as.character(tweets_curday$text[t]))
132
-curtext <- str_replace_all(curtext, "#", "")
133
-for(i in 1:length(issuelist)) {
134
-curtags <- as.character(issuelist[[i]])
135
-curissue <- names(issuelist)[i]
136
-tags_found <- str_detect(curtext, sprintf("%s", curtags))
137
-tags_found <- any(tags_found)
138
-if(tags_found) {
139
-#cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
140
-issues[d,curissue] <- issues[d,curissue] + 1
141
-}
142
-else {
143
-#cat("Nothing found\n")
144
-}
145
-} # /for issuelist
146
-} # /for tweets_curday
147
-} # /for drange
148
-View(issues)
149
-View(tweets_curday)
150
-write.csv(tweets_curday, "tweets_curday.csv")
151
-curtags
152
-curtext <- "Dies ist ein toller Text zum Testen mit Spacko"
153
-curtags <- c("toller", "testen", "pack")
154
-str_detect(curtext, sprintf("%s", curtags))
155
-curtags
156
-str_c("", curtags, "")
157
-str_c(" ", curtags, " ")
158
-curtags <- str_c(" ", curtags, " ")
159
-str_detect(curtext, sprintf("%s", curtags))
160
-curtags <- c("toller", "testen", "pack")
161
-curtext <- tolower(curtext)
162
-str_detect(curtext, sprintf("%s", curtags))
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-curtext
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-curtext <- "ein toller text testen(haha) spacko"
165
-"bla"
166
-str_detect(curtext, sprintf("%s", curtags))
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-str_detect(curtext, "\\Wtesten\\W")
168
-str_detect(curtext, "\\Wtesten\\w")
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-str_detect(curtext, "\\Wtesten\\W")
170
-str_detect(curtext, "\\Wpack\\W")
171
-str_detect(curtext, "\\Wpacko\\W")
172
-curtags <- str_c("\\W", curtags, "\\W")
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-str_detect(curtext, sprintf("%s", curtags))
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-curtags
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-curtext <- "ein toller text testen-mit spacko"
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-str_detect(curtext, sprintf("%s", curtags))
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-curtags
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-issues$issue.edathy <- 0
179
-issues$issue.ttip <- 0
180
-issuelist <- xmlToList("issues.xml")
181
-issueheads <- names(issuelist)
182
-issues[issueheads] <- 0
183
-View(issues)
184
-for(d in 1:nrow(issues)) {
185
-curdate <- issues$date[d]
186
-# Put all tweets from specific day in a temporary DF
187
-tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
188
-for(t in 1:nrow(tweets_curday)){
189
-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
190
-curtext <- tolower(as.character(tweets_curday$text[t]))
191
-curtext <- str_replace_all(curtext, "#", "")
192
-for(i in 1:length(issuelist)) {
193
-curtags <- as.character(issuelist[[i]])
194
-curissue <- names(issuelist)[i]
195
-curtags <- str_c("\\W", curtags, "\\W")
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-tags_found <- str_detect(curtext, sprintf("%s", curtags))
197
-tags_found <- any(tags_found)
198
-if(tags_found) {
199
-#cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
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-issues[d,curissue] <- issues[d,curissue] + 1
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-}
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-else {
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-#cat("Nothing found\n")
204
-}
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-} # /for issuelist
206
-} # /for tweets_curday
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-} # /for drange
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-View(issues)
209
-issuelist <- xmlToList("issues.xml")
210
-issueheads <- names(issuelist)
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-issues[issueheads] <- 0
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-for(d in 1:nrow(issues)) {
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-curdate <- issues$date[d]
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-# Put all tweets from specific day in a temporary DF
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-tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
216
-for(t in 1:nrow(tweets_curday)){
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-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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-curtext <- tolower(as.character(tweets_curday$text[t]))
219
-curtext <- str_replace_all(curtext, "#", "")
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-for(i in 1:length(issuelist)) {
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-curtags <- as.character(issuelist[[i]])
222
-curissue <- names(issuelist)[i]
223
-curtags <- str_c("\\W", curtags, "\\W")
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-tags_found <- str_detect(curtext, sprintf("%s", curtags))
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-tags_found <- any(tags_found)
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-if(tags_found) {
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-#cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
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-issues[d,curissue] <- issues[d,curissue] + 1
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-}
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-else {
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-#cat("Nothing found\n")
232
-}
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-} # /for issuelist
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-} # /for tweets_curday
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-} # /for drange
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-View(issues)
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-issuelist <- xmlToList("issues.xml")
238
-issueheads <- names(issuelist)
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-issues[issueheads] <- 0
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-View(issues)
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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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-View(issues)
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-issues <- data.frame(date = drange)
246
-issuelist <- xmlToList("issues.xml")
247
-issueheads <- names(issuelist)
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-issues[issueheads] <- 0
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-View(issues)
250
-for(d in 1:nrow(issues)) {
251
-curdate <- issues$date[d]
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-cat(as.character(curdate),"\n")
253
-# Put all tweets from specific day in a temporary DF
254
-tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
255
-for(t in 1:nrow(tweets_curday)){
256
-# Select tweet's text, make it lowercase and remove hashtag indicators (#)
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-curtext <- tolower(as.character(tweets_curday$text[t]))
258
-curtext <- str_replace_all(curtext, "#", "")
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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]
262
-curtags <- str_c("\\W", curtags, "\\W")
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-tags_found <- str_detect(curtext, sprintf("%s", curtags))
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-tags_found <- any(tags_found)
265
-if(tags_found) {
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-#cat("Positive in", curissue,"from",as.character(drange[d]),"\n")
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-issues[d,curissue] <- issues[d,curissue] + 1
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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 issuelist
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-} # /for tweets_curday
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-} # /for drange
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-View(issues)
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-plot(x = issues$date, y=issues$issue.ttip)
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-plot(x = issues$date, y=issues$issue.ttip, type="l")
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-test <- c("issues$issue.ttip", "issues$issue.nsa")
279
-plot(x = issues$date, y=test, type="l")
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-test
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-melt
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-library(ggplot2)
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-library(reshape2)
284
-df <- melt(issues,id="date")
285
-View(df)
286
-ggplot(df,aes(x=Year,y=value,colour=variable,group=variable)) + geom_line()
287
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_line()
288
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth()
289
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_point()
290
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,colour="red",method="loess", se=FALSE)
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-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess", se=FALSE)
292
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_line()
293
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="lm", se=FALSE)
294
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="gam", se=FALSE)
295
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="gam",formula = y ~ s(x, k = 3), se=FALSE)
296
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="gam",formula = y ~ x, se=FALSE)
297
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
298
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=3,method="loess",formula = y ~ x, se=FALSE)
299
-ggplot(df,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
300
-opts(legend.position = "none")
301
-theme(legend.position = "none")
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-View(issues)
303
-require(lubridate)
1
+setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
2
+read.csv("politiker2.csv")
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+read.csv("politiker2.csv")
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+list1 <- read.csv("politiker2.csv")
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+View(list1)
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+list1$name
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+list1$name[1]
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+for(i in 1:length(list1)) {
9
+lastname <- as.character(list1$name[i])
10
+}
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+str_extract(lastname, "\\w+?")
304 12
 require(XML)
305
-require(ggplot2)
306
-require(reshape2)
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-date_start
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-save(issues, "issues.RData")
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-save(issues, file = "issues.RData")
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-weeks(1)
311
-weeks(354)
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-drange
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-date_start + weeks(0:7)
314
-date_start <- as.Date("2014-01-01")
315
-date_end <- as.Date("2014-12-01")
316
-drange <- as.integer(date_end - date_start)
317
-drange / 7
318
-round(drange/7)
319
-round(drange/7,0)
320
-signif(drange/7)
321
-signif(drange/7, 0)
322
-issues_bak <- issues
323
-View(df)
324
-issues_melt <- melt(issues,id="date")
325
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line()
326
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
327
-drange <- as.integer(date_end - date_start)
328
-d
329
-wrange <- as.integer(date_end - date_start)
330
-wrange
331
-wrange <- (as.integer(date_end - date_start) / 7)
332
-wrange
333
-format(round(wrange, 1), nsmall = 1).
334
-format(round(wrange, 1), nsmall = 1)
335
-sprintf("%.1f",wrange)
336
-sprintf("%f",wrange)
337
-sprintf("%.1",wrange)
338
-sprintf("%1f",wrange)
339
-sprintf("%.0f",wrange)
340
-floor(wrange)
341
-wrange <- (as.integer(date_end - date_start) / 7)
342
-wrange <- floor(wrange)
343
-wrange <- date_start + weeks(0:wdrange)
344
-wrange <- date_start + weeks(0:wrange)
345
-wrange
346
-wrange[3]
347
-wrange[3] + 1800
348
-wrange[3] + 1
349
-wrange[3] + 7
350
-View(issues)
351
-issues$dates[3] - wrange [2]
352
-issues$dates[3] - wrange[2]
353
-wrange
354
-class(wrange[2])
355
-class(issues$dates[3])
356
-class(issues$date[3])
357
-issues$date[3] - wrange[2]
358
-issues$date[1]
359
-issues$date[2]
360
-wrange[1]
361
-wrange[2]
362
-wrange[1:2]
363
-days(wrange[1:2])
364
-ddays(wrange[1:2])
365
-days(1:2)
366
-wrange[1] + days(0:6)
367
-wrange
368
-issues_week <- data.frame(week = wrange)
369
-View(issues_week)
370
-wrange <- floor(wrange)
371
-wrange <- (as.integer(date_end - date_start) / 7)
372
-wrange <- floor(wrange)
373
-wrange
374
-wrange <- date_start + weeks(0:wrange)
375
-issues_week <- data.frame(week = wrange)
376
-View(issues_week)
377
-wrange <- (as.integer(date_end - date_start) / 7)
378
-wrange <- floor(wrange) - 1
379
-wrange <- date_start + weeks(0:wrange)
380
-issues_week <- data.frame(week = wrange)
381
-View(issues_week)
382
-wrange[1] + days(0:6)
383
-issues_week$week[2]
384
-issues_week$week[2] + 1
385
-currange <- issues_week$week[w] + days(0:6)
386
-w <- 1
387
-currange <- issues_week$week[w] + days(0:6)
388
-currange
389
-currange[7]
390
-str_detect(names(issues), "^issue")
391
-str_extract(names(issues), "^issue\.+")
392
-str_extract(names(issues), "^issue\\.+")
393
-str_extract(names(issues), "^issue\\..+")
394
-issueheads
395
-issues[issueheads[2],]
396
-issues[,issueheads[2]]
397
-issues[,issueheads[1]]
398
-View(issues_week)
399
-View(issues)
400
-issues[issues[, "date"] == wrange[1]]
401
-issues[issues[, "date"] == wrange[1], ]
402
-issues[issues[, "date"] == wrange[3], ]
403
-issues[issues[, "date"] == currange, ]
404
-currange
405
-issues[issues[, "date"] = currange, ]
406
-issues[issues[, "date"] == currange, ]
407
-View(issues)
408
-warning()
409
-issues[issues[, "date"] == currange, ]
410
-warning()
411
-issues[issues[, "date"] == sprintf("%s", currange), ]
412
-issues[issues[, "date"] == 2014-01-02, ]
413
-issues[issues[, "date"] == "2014-01-02", ]
414
-issues[issues[, "date"] == "2014-01-03", ]
415
-issues[issues[, "date"] == "2014-01-07", ]
416
-issues[issues[, "date"] == "2014-01-08", ]
417
-issues[issues[, "date"] == "2014-01-01:2014-01-08", ]
418
-issues[issues[, "date"] == "2014-01-01:2014-01-07", ]
419
-test <-issues[issues[, "date"] == currange, ]
420
-test
421
-sum(testz)
422
-sum(test)
423
-curweek <- issues_week$week[w]
424
-currange <- curweek + days(0:6)
425
-curweek
426
-currange
427
-d=1
428
-curday <- issues$date[d]
429
-curday
430
-names(issues)[2]
431
-curvalue <- issues[d,c]
432
-d
433
-c
434
-c <- 2
435
-curvalue <- issues[d,c]
436
-vurv
437
-curvalue
438
-c=56
439
-curvalue
440
-curvalue <- issues[d,c]
441
-curvalue
442
-c
443
-d
444
-View(issues)
445
-issues[2,7]
446
-issues[7,2]
447
-issues[7,3]
448
-curissue
449
-curissue <- names(issues)[c]
450
-c
451
-c = 7
452
-curissue <- names(issues)[c]
453
-curvalue <- issues[d,c]
454
-curvalue
455
-issues[d,curissue]
456
-issues[d,7]
457
-issues[d,curissue]
458
-curissue
459
-d
460
-issues[d:d+6,curissue]
461
-issues[(d:d+6),curissue]
462
-d2 <- d+6
463
-d2
464
-issues[(d:d2),curissue]
465
-issues[d:d2,curissue]
466
-sum(issues[d:d2,curissue])
467
-issues_week[issueheads] <- 0
468
-View(issues_week)
469
-issues_week[w,curissue]
470
-View(issues)
471
-for(w in 1:nrow(issues_week)) {
472
-curweek <- issues_week$week[w]
473
-currange <- curweek + days(0:6)
474
-day <- 1
475
-for(d in 1:nrow(issues)) {
476
-curday <- issues$date[d]
477
-if(curweek == curday) {
478
-for(c in 2:ncol(issues)) {
479
-curissue <- names(issues)[c]
480
-d2 <- d + 6
481
-curvalue <- sum(issues[d:d2,curissue])
482
-issues_week[w, curissue] <- curvalue
483
-} # /for issues columns
484
-} # /if day matches first day of week
485
-break
486
-} # /for issues rows
487
-} # /for issues_week
488
-View(issues_week)
489
-for(w in 1:nrow(issues_week)) {
490
-curweek <- issues_week$week[w]
491
-currange <- curweek + days(0:6)
492
-day <- 1
493
-for(d in 1:nrow(issues)) {
494
-curday <- issues$date[d]
495
-if(curweek == curday) {
496
-for(c in 2:ncol(issues)) {
497
-curissue <- names(issues)[c]
498
-d2 <- d + 6
499
-curvalue <- sum(issues[d:d2,curissue])
500
-issues_week[w, curissue] <- curvalue
501
-} # /for issues columns
502
-} # /if day matches first day of week
503
-} # /for issues rows
504
-} # /for issues_week
505
-View(issues_week)
506
-View(issues)
507
-View(issues_week)
508
-View(issues)
509
-View(issues_week)
510
-issues_week_melt <- melt(issues_week,id="week")
511
-ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_line()
512
-ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
13
+require(stringr)
14
+str_extract(lastname, "\\w+?")
15
+str_extract(lastname, "\\w+")
16
+str_extract(lastname, "\\w+")
17
+list2 <- read.csv("politiker.csv")
18
+View(list2)
19
+View(list2)
20
+View(list2)
21
+View(list2)
22
+list1 <- read.csv("politiker2.csv")
23
+list2 <- read.csv("politiker.csv")
24
+for(i in 1:length(list1)) {
25
+name1 <- as.character(list1$name[i])
26
+lastname1 <- str_extract(name1, "\\w+")
27
+for(a in 1:length(list2)) {
28
+name2 <- as.character(list2$name[a])
29
+if(str_detect(name2, lastname1)) {
30
+acc <- as.character(list2$screenname[a])
31
+cat(name1,":",acc,sep = "")
32
+}
33
+}
34
+}
35
+cat(name1,":",acc,sep = "")
36
+for(i in 1:length(list1)) {
37
+name1 <- as.character(list1$name[i])
38
+lastname1 <- str_extract(name1, "\\w+")
39
+for(a in 1:length(list2)) {
40
+name2 <- as.character(list2$name[a])
41
+if(str_detect(name2, lastname1)) {
42
+acc <- as.character(list2$screenname[a])
43
+#cat(name1,":",acc,"\n",sep = "")
44
+cat("Found\n")
45
+}
46
+}
47
+}
48
+a
49
+for(i in 1:nrow(list1)) {
50
+name1 <- as.character(list1$name[i])
51
+lastname1 <- str_extract(name1, "\\w+")
52
+for(a in 1:nrow(list2)) {
53
+name2 <- as.character(list2$name[a])
54
+if(str_detect(name2, lastname1)) {
55
+acc <- as.character(list2$screenname[a])
56
+cat(name1,":",acc,"\n",sep = "")
57
+#cat("Found\n")
58
+}
59
+}
60
+}
61
+for(i in 1:nrow(list1)) {
62
+detect <- FALSE
63
+name1 <- as.character(list1$name[i])
64
+lastname1 <- str_extract(name1, "\\w+")
65
+for(a in 1:nrow(list2)) {
66
+name2 <- as.character(list2$name[a])
67
+if(str_detect(name2, lastname1)) {
68
+detect <- TRUE
69
+acc <- as.character(list2$screenname[a])
70
+cat(name1," --> ",acc,"\n",sep = "")
71
+}
72
+}
73
+if(detect) {
74
+cat("\n")
75
+}
76
+}
77
+for(i in 1:nrow(list1)) {
78
+detect <- FALSE
79
+name1 <- as.character(list1$name[i])
80
+lastname1 <- str_extract(name1, "\\w+")
81
+for(a in 1:nrow(list2)) {
82
+name2 <- as.character(list2$name[a])
83
+if(str_detect(name2, lastname1)) {
84
+detect <- TRUE
85
+acc <- as.character(list2$screenname[a])
86
+cat(name1," --> ",acc,"(",name2,")","\n",sep = "")
87
+}
88
+}
89
+if(detect) {
90
+cat("\n")
91
+}
92
+}
93
+for(i in 1:nrow(list1)) {
94
+detect <- FALSE
95
+name1 <- as.character(list1$name[i])
96
+lastname1 <- str_extract(name1, "\\w+")
97
+for(a in 1:nrow(list2)) {
98
+name2 <- as.character(list2$name[a])
99
+if(str_detect(name2, lastname1)) {
100
+detect <- TRUE
101
+acc <- as.character(list2$screenname[a])
102
+cat(name1," --> ",acc," (",name2,")","\n",sep = "")
103
+}
104
+}
105
+if(detect) {
106
+cat("\n")
107
+}
108
+}
109
+c(name1," --> ",acc," (",name2,")","\n",sep = "")
110
+str_c(name1," --> ",acc," (",name2,")","\n",sep = "")
111
+str_c(name1," --> ",acc," (",name2,")")
112
+result <- str_c(name1," --> ",acc," (",name2,")")
113
+for(i in 1:nrow(list1)) {
114
+detect <- FALSE
115
+name1 <- as.character(list1$name[i])
116
+lastname1 <- str_extract(name1, "\\w+")
117
+for(a in 1:nrow(list2)) {
118
+name2 <- as.character(list2$name[a])
119
+if(str_detect(name2, lastname1)) {
120
+detect <- TRUE
121
+acc <- as.character(list2$screenname[a])
122
+result <- str_c(name1," --> ",acc," (",name2,")")
123
+write(result, "merge.txt", append = TRUE)
124
+}
125
+}
126
+if(detect) {
127
+write("", "merge.txt", append = TRUE)
128
+}
129
+}
130
+for(i in 1:nrow(list1)) {
131
+detect <- FALSE
132
+name1 <- as.character(list1$name[i])
133
+lastname1 <- str_extract(name1, "\\w+")
134
+for(a in 1:nrow(list2)) {
135
+name2 <- as.character(list2$name[a])
136
+if(str_detect(name2, lastname1)) {
137
+detect <- TRUE
138
+acc <- as.character(list2$screenname[a])
139
+verif <- as.character(list2$verified[a])
140
+result <- str_c(name1," --> ",acc," (",name2,") ",verif)
141
+write(result, "merge.txt", append = TRUE)
142
+}
143
+}
144
+if(detect) {
145
+write("", "merge.txt", append = TRUE)
146
+}
147
+}
148
+for(i in 1:nrow(list1)) {
149
+detect <- FALSE
150
+name1 <- as.character(list1$name[i])
151
+lastname1 <- str_extract(name1, "\\w+")
152
+for(a in 1:nrow(list2)) {
153
+name2 <- as.character(list2$name[a])
154
+if(str_detect(name2, lastname1)) {
155
+detect <- TRUE
156
+acc <- as.character(list2$screenname[a])
157
+verif <- as.character(list2$verified[a])
158
+result <- str_c(name1," --> ",acc," (",name2,") ",verif)
159
+write(result, "merge.txt", append = TRUE)
160
+}
161
+}
162
+if(detect) {
163
+write("", "merge.txt", append = TRUE)
164
+}
165
+}

+ 62
- 35
extract-twitter-accounts.R View File

@@ -10,10 +10,22 @@ setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
10 10
 source("functions.R")
11 11
 
12 12
 
13
-acc_url <- "http://www.bundestwitter.de/api/politiker"
14
-acc_df <- fromJSON(acc_url)
13
+#acc_url <- "http://www.bundestwitter.de/api/politiker"
14
+#acc_df <- fromJSON(acc_url)
15 15
 
16
+acc_df <- read.csv("politiker2.csv")
16 17
 
18
+delrow <- NULL
19
+for(r in 1:nrow(acc_df)) {
20
+  acc <- as.character(acc_df$twitter_acc[r])
21
+  if(!nzchar(acc)) {
22
+    delrow <- c(delrow, r)
23
+  }
24
+}
25
+acc_df <- acc_df[-delrow, ]
26
+rm(delrow, r, acc)
27
+acc_df$row.names <- NULL
28
+row.names(acc_df) <- NULL
17 29
 
18 30
 
19 31
 # COLLECT ALL TWEETS ------------------------------------------------------
@@ -42,11 +54,15 @@ api_params <- c(
42 54
 api_url <- "https://api.twitter.com/1.1/statuses/user_timeline.json";
43 55
 max_count <- "200"
44 56
 keep <- c("created_at", "id_str", "text", "retweet_count")
57
+
58
+# tweets_complete: All tweets
59
+# tweets_full: All tweets of current user
60
+# tweets_temp: The current max 200 tweets of current user
45 61
 tweets_full <- data.frame(user=character(), name=character(), created_at=character(), id_str=character(), text=character(), retweet_count=character())
46 62
 tweets_complete <- tweets_full
47 63
 
48
-for(a in 346:nrow(acc_df)) {
49
-  user <- as.character(acc_df$screenname[a])
64
+for(a in 1:nrow(acc_df)) {
65
+  user <- as.character(acc_df$twitter_acc[a])
50 66
   name <- as.character(acc_df$name[a])
51 67
   max_id <- "999999999999999999"
52 68
   loop <- 1
@@ -104,43 +120,54 @@ for(a in 346:nrow(acc_df)) {
104 120
     }
105 121
    
106 122
     ## Last loop is reached. Now clear the data frame
107
-    # Is the last tweet in tweets_temp from 2013?
108
-    status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
109
-    if (!status) { # Starting when tweet not from 2014
123
+#     # Is the last tweet in tweets_temp from 2013?
124
+#     status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
125
+    
126
+    # Extract year of last tweet in tweets_temp
127
+    year_last <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
128
+    status <- year_last < 2014
129
+    if (status) { # Starting when tweet is earlier than 2014 (i.e. 2013, 2012...)
110 130
       
111
-      # Delete all tweets other than from 2014
112
-      old <- 0
113
-      for(r in 1:nrow(tweets_temp)) {
114
-        status <- str_detect(tweets_temp$created_at[r], "2014$")
115
-        if(is.na(status)) { 
116
-          #status <- FALSE
117
-          cat("[INFO] NA-Status in Tweet", r)
118
-        }
119
-        if(!status) { # Starting when tweet not from 2014
120
-          old <- old + 1
121
-        }
131
+      # Is even the first tweet older than 2014?
132
+      year_first <- as.numeric(str_extract(tweets_temp$created_at[1], "\\d{4}$"))
133
+      status <- year_first < 2014
134
+      if(status) {
135
+        cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
122 136
       }
123
-      if(old > 0) {
124
-        old <- old - 1
125
-        
126
-        # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
127
-        status <- str_detect(tweets_temp$created_at[1], "2014$")
128
-        if(!status) {
129
-          old <- nrow(tweets_temp)
130
-          cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
131
-        }
132
-        
133
-        # delete all lines which are older than 2014
134
-        tweets_temp <- head(tweets_temp, -old)
135
-      }
136
-      rm(old)
137 137
       
138
+#       # Delete all tweets other than from 2014
139
+#       old <- 0
140
+#       for(r in 1:nrow(tweets_temp)) {
141
+#         status <- str_detect(tweets_temp$created_at[r], "2014$")
142
+#         if(is.na(status)) { 
143
+#           #status <- FALSE
144
+#           cat("[INFO] NA-Status in Tweet", r)
145
+#         }
146
+#         if(!status) { # Starting when tweet not from 2014
147
+#           old <- old + 1
148
+#         }
149
+#       }
150
+#       if(old > 0) {
151
+#         old <- old - 1
152
+#         
153
+#         # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
154
+#         status <- str_detect(tweets_temp$created_at[1], "2014$")
155
+#         if(!status) {
156
+#           old <- nrow(tweets_temp)
157
+#           cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
158
+#         }
159
+#         
160
+#         # delete all lines which are older than 2014
161
+#         tweets_temp <- head(tweets_temp, -old)
162
+#       }
163
+#       rm(old)
164
+
138 165
       tweets_full <- insertRow(tweets_full, tweets_temp)
139 166
       #rm(tweets_temp)
140 167
       break  # End loop because 2013 is reached
141 168
     }
142 169
     
143
-    # The last tweet is still from 2014, so we need another loop
170
+    # The last tweet is newer or equal 2014, so we need another loop
144 171
     else {
145 172
       # Setting max_id to gather next 200 tweets
146 173
       max_id <- tweets_temp$id_str[nrow(tweets_temp)]
@@ -157,7 +184,7 @@ for(a in 346:nrow(acc_df)) {
157 184
   write.csv(tweets_complete, "tweets_complete.csv")
158 185
 
159 186
   
160
-  # Every tweet from 2014 from user[a] is downloaded. Now next user in for-loop
187
+  # Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
161 188
 }
162 189
 rm(a, code, current, error, loop, max_id, name, query, r, status, user, wait, tweets_full, tweets_temp)
163 190
 
@@ -178,7 +205,7 @@ Sys.setlocale("LC_TIME", "C")
178 205
 tweets$created_at <- as.POSIXct(tweets$created_at, format = "%a %b %d %H:%M:%S %z %Y")
179 206
 tweets <- tweets[order(tweets$created_at), ]
180 207
 
181
-# Finally delete every tweet not from 2014
208
+# Finally delete every tweet not from 2014 (so also )
182 209
 delrow <- NULL
183 210
 for(r in 1:nrow(tweets)) {
184 211
   if(format(tweets$created_at[r], "%Y") != "2014") {

+ 4
- 4
issuecomp.R View File

@@ -84,13 +84,13 @@ for(w in 1:nrow(issues_week)) {
84 84
 
85 85
 # Level: days
86 86
 issues_melt <- melt(issues,id="date")
87
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line()
88
-ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
87
+ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_line(size=1)
88
+ggplot(issues_melt,aes(x=date,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
89 89
 
90 90
 # Level: weeks
91 91
 issues_week_melt <- melt(issues_week,id="week")
92
-ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_line()
93
-ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_smooth(size=0.5,method="loess",formula = y ~ x, se=FALSE)
92
+ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_line(size=1)
93
+ggplot(issues_week_melt,aes(x=week,y=value,colour=variable,group=variable)) + geom_smooth(size=1,method="loess",formula = y ~ x, se=FALSE)
94 94
 
95 95
 
96 96
 # POSSIBLY USEFUL CODE ----------------------------------------------------

+ 13
- 28
issues.xml View File

@@ -1,18 +1,16 @@
1 1
 <issuelist>
2
-    <issue.ttip>
3
-        <tag>ttip</tag>
4
-        <tag>ceta</tag>
5
-        <tag>freihandelsabkommen</tag>
6
-    </issue.ttip>
7 2
     
8
-    <issue.energiewende>
3
+    <issue.green>
4
+        <tag>umwelt</tag>
5
+        <tag>energie</tag>
9 6
         <tag>energiewende</tag>
10 7
         <tag>atomkraft</tag>
11 8
         <tag>windkraft</tag>
12 9
         <tag>wasserkraft</tag>
13 10
         <tag>solarstrom</tag>
14 11
         <tag>kraftwerk</tag>
15
-    </issue.energiewende>
12
+        <tag>strom</tag>
13
+    </issue.green>
16 14
     
17 15
     <issue.ukraine>
18 16
         <tag>ukraine</tag>
@@ -22,21 +20,6 @@
22 20
         <tag>kiew</tag>
23 21
     </issue.ukraine>
24 22
     
25
-    <issue.vds>
26
-        <tag>vds</tag>
27
-        <tag>vorratsdatenspeicherung</tag>
28
-        <tag>datenschutz</tag>
29
-    </issue.vds>
30
-    
31
-    <issue.euelec>
32
-        <tag>schulz</tag>
33
-        <tag>kommission</tag>
34
-        <tag>juncker</tag>
35
-        <tag>ec2014</tag>
36
-        <tag>ep2014</tag>
37
-        <tag>europawahl</tag>
38
-    </issue.euelec>
39
-    
40 23
     <issue.labour>
41 24
         <tag>arbeitsmarkt</tag>
42 25
         <tag>mindestlohn</tag>
@@ -50,6 +33,7 @@
50 33
         <tag>snowden</tag>
51 34
         <tag>bnd</tag>
52 35
         <tag>gchq</tag>
36
+        <tag>überwachung</tag>
53 37
     </issue.nsa>
54 38
     
55 39
     <issue.wm2014>
@@ -87,12 +71,6 @@
87 71
         <tag>ebola</tag>
88 72
     </issue.ebola>
89 73
     
90
-    <issue.nsu>
91
-        <tag>nsu</tag>
92
-        <tag>mundlos</tag>
93
-        <tag>zschäpe</tag>
94
-    </issue.nsu>
95
-    
96 74
     <issue.edathy>
97 75
         <tag>edathy</tag>
98 76
         <tag>kinderpornographie</tag>
@@ -101,6 +79,13 @@
101 79
         <tag>pädophilie</tag>
102 80
     </issue.edathy>
103 81
 
82
+    <issue.conservative>
83
+        <tag>christ</tag>
84
+        <tag>christlich</tag>
85
+        <tag>christen</tag>
86
+        <tag>inflation</tag>
87
+    </issue.conservative>
88
+
104 89
     <issue.control>
105 90
         <tag>pillepalle</tag>
106 91
         <tag>schundluder</tag>

+ 100
- 0
issues.xml.long View File

@@ -0,0 +1,100 @@
1
+<issuelist>
2
+    
3
+    <issue.energiewende>
4
+        <tag>energie</tag>
5
+        <tag>energiewende</tag>
6
+        <tag>atomkraft</tag>
7
+        <tag>windkraft</tag>
8
+        <tag>wasserkraft</tag>
9
+        <tag>solarstrom</tag>
10
+        <tag>kraftwerk</tag>
11
+        <tag>strom</tag>
12
+    </issue.energiewende>
13
+    
14
+    <issue.ukraine>
15
+        <tag>ukraine</tag>
16
+        <tag>euromaidan</tag>
17
+        <tag>krim</tag>
18
+        <tag>putin</tag>
19
+        <tag>kiew</tag>
20
+    </issue.ukraine>
21
+    
22
+    <issue.euelec>
23
+        <tag>schulz</tag>
24
+        <tag>kommission</tag>
25
+        <tag>juncker</tag>
26
+        <tag>ec2014</tag>
27
+        <tag>ep2014</tag>
28
+        <tag>europawahl</tag>
29
+    </issue.euelec>
30
+    
31
+    <issue.labour>
32
+        <tag>arbeitsmarkt</tag>
33
+        <tag>mindestlohn</tag>
34
+        <tag>arbeitslosigkeit</tag>
35
+        <tag>hartz4</tag>
36
+        <tag>arbeitslos</tag>
37
+    </issue.labour>
38
+    
39
+    <issue.nsa>
40
+        <tag>nsa</tag>
41
+        <tag>snowden</tag>
42
+        <tag>bnd</tag>
43
+        <tag>gchq</tag>
44
+    </issue.nsa>
45
+    
46
+    <issue.wm2014>
47
+        <tag>wm2014</tag>
48
+        <tag>weltmeister</tag>
49
+        <tag>meister</tag>
50
+        <tag>finale</tag>
51
+        <tag>halbfinale</tag>
52
+        <tag>viertelfinale</tag>
53
+        <tag>achtelfinale</tag>
54
+        <tag>brager</tag>
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+        <tag>gerbra</tag>
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+        <tag>argger</tag>
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+        <tag>gerarg</tag>
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+        <tag>wm</tag>
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+        <tag>stadion</tag>
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+    </issue.wm2014>
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+    
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+    <issue.middleeast>
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+        <tag>gaza</tag>
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+        <tag>naher osten</tag>
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+        <tag>nahen osten</tag>
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+        <tag>nahost</tag>
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+    </issue.middleeast>
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+    
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+    <issue.iraq>
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+        <tag>irak</tag>
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+        <tag>isis</tag>
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+        <tag>is</tag>
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+        <tag>kalifat</tag>
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+    </issue.iraq>
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+    
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+    <issue.ebola>
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+    </issue.ebola>
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+    
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+    <issue.nsu>
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+        <tag>mundlos</tag>
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+        <tag>zschäpe</tag>
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+    </issue.nsu>
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+    
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+    <issue.edathy>
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+        <tag>edathy</tag>
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+        <tag>kinderpornographie</tag>
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+        <tag>kipo</tag>
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+        <tag>pädophil</tag>
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+        <tag>pädophilie</tag>
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+    </issue.edathy>
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+        <tag>schundluder</tag>
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+        <tag>whatthefuck</tag>
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+    </issue.control>
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424
+Müller-Gemmeke, Beate --> GrueneBeate (Beate Müller-Gemmeke) 1
425
+Müller-Gemmeke, Beate --> muellersoenksen (Burkhardt Müller-Sönksen) 1
426
+Müller-Gemmeke, Beate --> Kerstin_Mueller (Kerstin Müller) 1
427
+Müller-Gemmeke, Beate --> petramuellerFDP (Petra Müller) 1
428
+Müller-Gemmeke, Beate --> smuellermdb (Stefan Müller) 1
429
+
430
+Mutlu, Özcan --> OezcanMutlu (Özcan Mutlu) 1
431
+
432
+Neu, Dr. Alexander S. --> AlexanderSNeu (Alexander S. Neu) 0
433
+
434
+Nick, Dr. Andreas --> DrAndreasNick (Andreas Nick) 1
435
+
436
+Nissen, Ulli --> malechanissen (Birgit Malecha-Nissen) 0
437
+Nissen, Ulli --> UlliNissen (Ulli Nissen) 0
438
+
439
+Nord, Thomas --> NordMdb (Thomas Nord) 0
440
+
441
+Notz, Dr. Konstantin von --> KonstantinNotz (Dr. Konstantin von Notz) 1
442
+
443
+Nouripour, Omid --> nouripour (Omid Nouripour) 1
444
+
445
+Nowak, Helmut --> Helmut_Nowak (Helmut Fedor Nowak) 0
446
+
447
+Nüßlein, Dr. iur. Georg --> georgnuesslein (Dr. iur. Georg Nüßlein) 0
448
+
449
+Oellers, Wilfried --> WilfriedOellers (Wilfried Oellers) 0
450
+
451
+Oppermann, Thomas --> ThomasOppermann (Thomas Oppermann) 1
452
+
453
+Ostendorff, Friedrich --> FOstendorff (Friedrich Ostendorff) 0
454
+
455
+Özdemir, Cem --> oezdemir_spd (Mahmut Özdemir) 0
456
+
457
+Özdemir, Mahmut --> oezdemir_spd (Mahmut Özdemir) 0
458
+
459
+Pantel, Sylvia --> SylviaPantel (Sylvia Pantel) 0
460
+
461
+Pau, Petra --> heinzpaula (Heinz Paula) 1
462
+Pau, Petra --> lisapaus (Lisa Paus) 1
463
+Pau, Petra --> paul_schaefer (Paul Schäfer) 0
464
+Pau, Petra --> PetraPauMaHe (Petra Pau) 1
465
+
466
+Paus, Lisa --> lisapaus (Lisa Paus) 1
467
+
468
+Petzold, Harald --> HPetzold (Harald Alfred Petzold) 0
469
+
470
+Petzold, Ulrich --> HPetzold (Harald Alfred Petzold) 0
471
+
472
+Pfeiffer, Dr. Joachim --> SibyllePfeiffer (Sibylle Pfeiffer) 1
473
+
474
+Pfeiffer, Sibylle --> SibyllePfeiffer (Sibylle Pfeiffer) 1
475
+
476
+Pilger, Detlev --> DetlevPilger (Detlev Pilger) 1
477
+
478
+Post, Achim --> Achim_P (Achim Post) 0
479
+Post, Achim --> FlorianPost (Florian Post) 0
480
+
481
+Post, Florian --> Achim_P (Achim Post) 0
482
+Post, Florian --> FlorianPost (Florian Post) 0
483
+
484
+Pothmer, Brigitte --> BrigittePothmer (Brigitte Pothmer) 1
485
+
486
+Priesmeier, Dr. Wilhelm --> Dr_W_Priesmeier (Dr. Wilhelm Priesmeier) 0
487
+
488
+Pronold, Florian --> FlorianPronold (Florian Pronold) 1
489
+
490
+Rabanus, Martin --> MartinRabanus (Martin Rabanus) 1
491
+
492
+Radomski, Kerstin --> KerstinRadomski (Kerstin Radomski) 0
493
+
494
+Rainer, Alois --> rainerarnold (Rainer Arnold) 1
495
+Rainer, Alois --> rainerspiering (Rainer Spiering) 0
496
+Rainer, Alois --> rainerstinner (Rainer Stinner) 1
497
+
498
+Rawert, Mechthild --> MechthildRawert (Mechthild Rawert) 1
499
+
500
+Rebmann, Stefan --> RebmannMdB (Stefan Rebmann) 1
501
+
502
+Rehberg, Eckhardt --> EckhardtRehberg (Eckhardt Rehberg) 0
503
+
504
+Reiche, Katherina --> g_reichenbach (Gerold Reichenbach) 1
505
+
506
+Reichenbach, Gerold --> g_reichenbach (Gerold Reichenbach) 1
507
+
508
+Renner, Martina --> MartinaRenner (Martina Renner) 0
509
+
510
+Rimkus, Andreas --> SPDDuesseldorf (Andreas Rimkus) 0
511
+Rimkus, Andreas --> SPDuesseldorf (Andreas Rimkus) 0
512
+
513
+Rix, Sönke --> SoenkeRix (Soenke Rix) 1
514
+
515
+Rohde, Dennis --> DennisRohde (Dennis Rohde) 1
516
+
517
+Rosemann, Dr. Martin --> MartinRosemann (Dr. Martin Rosemann) 0
518
+
519
+Röspel, René --> reneroespel (René Röspel) 1
520
+
521
+Rossmann, Dr. Ernst Dieter --> edrossmann (Dr. Ernst Dieter Rossmann) 1
522
+
523
+Rößner, Tabea --> TabeaRoessner (Tabea Rößner) 1
524
+
525
+Roth, Claudia --> MiRo_SPD (Michael Roth) 1
526
+
527
+Roth, Michael --> MiRo_SPD (Michael Roth) 1
528
+
529
+Rüddel, Erwin --> Erwin_Rueddel (Erwin Rüddel) 1
530
+
531
+Rüffer, Corinna --> crueffer (Corinna Rüffer) 0
532
+
533
+Rüthrich, Susann --> SusannRuethrich (Susann Rüthrich) 0
534
+
535
+Sarrazin, Manuel --> ManuelSarrazin (Manuel Sarrazin) 1
536
+
537
+Sawade, Annette --> AnnetteSawade (Annette Sawade) 1
538
+
539
+Schäfer, Anita --> paul_schaefer (Paul Schäfer) 0
540
+
541
+Schäfer, Axel --> paul_schaefer (Paul Schäfer) 0
542
+
543
+Schauws, Ulle --> ulle_schauws (Ulle Schauws) 1
544
+
545
+Scheuer, Andreas --> AndiScheuer (Dr. Andreas Scheuer) 1
546
+
547
+Schimke, Jana --> JanaSchimke (Jana Schimke) 0
548
+
549
+Schipanski, Tankred --> TSchipanski (Tankred Schipanski) 0
550
+
551
+Schlecht, Michael --> mschlecht (Michael Schlecht) 0
552
+
553
+Schmidt, Christian --> dieschmidt (Dagmar Schmidt) 0
554
+Schmidt, Christian --> silviaschmidt (Silvia Schmidt) 1
555
+
556
+Schmidt, Dagmar --> dieschmidt (Dagmar Schmidt) 0
557
+Schmidt, Dagmar --> silviaschmidt (Silvia Schmidt) 1
558
+
559
+Schmidt, Dr. Frithjof --> dieschmidt (Dagmar Schmidt) 0
560
+Schmidt, Dr. Frithjof --> silviaschmidt (Silvia Schmidt) 1
561
+
562
+Schmidt, Gabriele --> dieschmidt (Dagmar Schmidt) 0
563
+Schmidt, Gabriele --> silviaschmidt (Silvia Schmidt) 1
564
+
565
+Schmidt, Matthias --> dieschmidt (Dagmar Schmidt) 0
566
+Schmidt, Matthias --> silviaschmidt (Silvia Schmidt) 1
567
+
568
+Schmidt, Ulla --> dieschmidt (Dagmar Schmidt) 0
569
+Schmidt, Ulla --> silviaschmidt (Silvia Schmidt) 1
570
+
571
+Schneider, Carsten --> schneidercar (Carsten Schneider) 1
572
+Schneider, Carsten --> ulrich_hn (Ulrich Schneider) 0
573
+
574
+Schnieder, Patrick --> PSchnieder (Patrick Schnieder) 1
575
+
576
+Schön, Nadine --> NadineSchoen (Nadine Schön) 1
577
+
578
+Schröder, Dr. Kristina --> schroeder_k (Dr. Kristina Schröder) 1
579
+
580
+Schröder, Dr. Ole --> schroeder_k (Dr. Kristina Schröder) 1
581
+
582
+Schulz, Swen --> jimmyschulz (Jimmy Schulz) 1
583
+Schulz, Swen --> K_SA (Kordula Schulz-Asche) 1
584
+Schulz, Swen --> swenschulz (Swen Schulz) 1
585
+
586
+Schulz-Asche, Kordula --> jimmyschulz (Jimmy Schulz) 1
587
+Schulz-Asche, Kordula --> K_SA (Kordula Schulz-Asche) 1
588
+Schulz-Asche, Kordula --> swenschulz (Swen Schulz) 1
589
+
590
+Schummer, Uwe --> UweSchummer (Uwe Schummer) 1
591
+
592
+Schuster, Armin --> armin_schuster (Armin Schuster) 1
593
+
594
+Schwabe, Frank --> FrankSchwabe (Frank Schwabe) 1
595
+
596
+Schwartze, Stefan --> s_schwartze (Stefan Schwartze) 0
597
+
598
+Schwarz, Andreas --> schwarz_spd (Andreas Schwarz) 0
599
+Schwarz, Andreas --> Schwarz_MdB (Andreas Schwarz) 1
600
+Schwarz, Andreas --> TinaSchwarzer (Christina Schwarzer) 1
601
+Schwarz, Andreas --> rischwasu (Rita Schwarzelühr-Sutter) 1
602
+
603
+Schwarzelühr-Sutter, Rita --> rischwasu (Rita Schwarzelühr-Sutter) 1
604
+
605
+Schwarzer, Christina --> TinaSchwarzer (Christina Schwarzer) 1
606
+
607
+Sensburg, Prof. Dr. Patrick --> PatrickSensburg (Patrick Sensburg) 1
608
+
609
+Siebert, Bernd --> BerndSiebert (Bernd Siebert) 0
610
+
611
+Sieling, Dr. Carsten --> carstensieling (Dr. Carsten Sieling) 1
612
+
613
+Singhammer, Johannes --> JohannesSingham (Johannes Singhammer) 0
614
+
615
+Sitte, Dr. Petra --> Petra_Sitte_MdB (Dr. Petra Sitte) 1
616
+
617
+Sorge, Tino --> TinoSorge (Tino Sorge) 0
618
+
619
+Spahn, Jens --> jensspahn (Jens Spahn) 0
620
+
621
+Spiering, Rainer --> rainerspiering (Rainer Spiering) 0
622
+
623
+Stadler, Svenja --> maxstadler (Max Stadler) 0
624
+
625
+Steffel, Dr. Frank --> franksteffel (Dr. Frank Steffel) 1
626
+
627
+Steffen, Sonja --> SteffenBilger (Steffen Bilger) 1
628
+Steffen, Sonja --> DerRostocker (Steffen Bockhahn) 0
629
+Steffen, Sonja --> steffenkanitz (Steffen Kanitz) 0
630
+Steffen, Sonja --> SCLemme (Steffen-Claudio Lemme) 1
631
+
632
+Stein, Peter --> SteinbachErika (Erika Steinbach) 1
633
+Stein, Peter --> JoSteiniger (Johannes Eberhard Steiniger) 0
634
+Stein, Peter --> peersteinbrueck (Peer Steinbrück) 1
635
+Stein, Peter --> SteinekeCDU (Sebastian Steineke) 1
636
+
637
+Steinbach, Erika --> SteinbachErika (Erika Steinbach) 1
638
+
639
+Steinbrück, Peer --> peersteinbrueck (Peer Steinbrück) 1
640
+
641
+Steineke, Sebastian --> SteinekeCDU (Sebastian Steineke) 1
642
+
643
+Steiniger, Johannes --> JoSteiniger (Johannes Eberhard Steiniger) 0
644
+
645
+Stier, Dieter --> DieterStier (Dieter Stier) 0
646
+
647
+Storjohann, Gero --> gero_storjohann (Gero Storjohann) 0
648
+
649
+Strässer, Christoph --> ChStraesser (Christoph Strässer) 1
650
+
651
+Strengmann-Kuhn, Dr. Wolfgang --> W_SK (Dr. Wolfgang Strengmann-Kuhn) 1
652
+
653
+Ströbele, Hans-Christian --> MdB_Stroebele (Hans-Christian Ströbele) 1
654
+
655
+Tack, Kerstin --> kerstin_tack (Kerstin Tack) 1
656
+Tack, Kerstin --> KirstenTackmann (Kirsten Tackmann) 1
657
+
658
+Tackmann, Dr. Kirsten --> KirstenTackmann (Kirsten Tackmann) 1
659
+
660
+Tank, Azize --> TSchipanski (Tankred Schipanski) 0
661
+
662
+Tauber, Dr. Peter --> petertauber (Dr. Peter Tauber) 1
663
+
664
+Tausend, Claudia --> ctausend (Claudia Rosina Tausend) 0
665
+
666
+Terpe, Dr. Harald --> terpeundteam (Harald Terpe) 1
667
+
668
+Thews, Michael --> michael_thews (Michael Thews) 1
669
+
670
+Trittin, Jürgen --> JTrittin (Jürgen Trittin) 1
671
+
672
+Uhl, Dr. Hans-Peter --> BabettesChefin (Sylvia Kotting-Uhl) 1
673
+
674
+Ullrich, Dr. Volker --> VolkerUllrich (Volker Ullrich) 1
675
+
676
+Ulrich, Alexander --> UlrichKelber (Ulrich Kelber) 1
677
+Ulrich, Alexander --> ulrich_hn (Ulrich Schneider) 0
678
+
679
+Verlinden, Dr. Julia --> julia_verlinden (Julia Verlinden) 0
680
+
681
+Vogel, Volkmar --> johannesvogel (Johannes Vogel) 1
682
+
683
+Vogler, Kathrin --> voglerk (Kathrin Vogler) 0
684
+
685
+Vogt, Ute --> UteVogt (Ute Vogt) 1
686
+
687
+Volmering, Sven --> SvenVolmering (Sven Volmering) 1
688
+
689
+Wagenknecht, Dr. Sahra --> SWagenknecht (Sahra Wagenknecht) 1
690
+
691
+Wagner, Doris --> Arfst_Wagner (Arfst Wagner) 1
692
+Wagner, Doris --> DorisWagner_MdB (Doris Wagner) 1
693
+
694
+Walter-Rosenheimer, Beate --> BeateWaRo (Beate Walter-Rosenheimer) 0
695
+
696
+Wanderwitz, Marco --> wanderwitz (Marco Wanderwitz) 0
697
+
698
+Warken, Nina --> ninawarken (Nina Warken) 0
699
+
700
+Wawzyniak, Halina --> Halina_Waw (Halina Wawzyniak) 1
701
+
702
+Weber, Gabi --> GabiWeberSPD (Gabi Weber) 1
703
+
704
+Wegner, Kai --> kaiwegner (Kai Wegner) 1
705
+
706
+Weinberg, Harald --> HaraldWeinberg (Harald Weinberg) 0
707
+Weinberg, Harald --> MarcusWeinberg (Marcus Weinberg) 1
708
+
709
+Weinberg, Marcus --> HaraldWeinberg (Harald Weinberg) 0
710
+Weinberg, Marcus --> MarcusWeinberg (Marcus Weinberg) 1
711
+
712
+Weisgerber, Dr. Anja --> anjaweisgerber (Anja Weisgerber) 0
713
+
714
+Wellenreuther, Ingo --> Wellenreuther (Ingo Wellenreuther) 0
715
+
716
+Werner, Katrin --> Katrin_Werner (Katrin Werner) 0
717
+
718
+Wilms, Dr. Valerie --> WilmsVal (Dr. Valerie Wilms) 1
719
+
720
+Wöhrl, Dagmar G. --> DWoehrl (Dagmar Wöhrl) 1
721
+
722
+Wolff, Waltraud --> Hartfrid_Wolff (Hartfrid Wolff) 1
723
+Wolff, Waltraud --> waltraud_wolff (Waltraud Wolff) 1
724
+
725
+Zech, Tobias --> TobiasZech (Tobias Josef Zech) 0
726
+
727
+Ziegler, Dagmar --> ZieglerMdB (Dagmar Ziegler) 1
728
+
729
+Zimmer, Prof. Dr. Matthias --> JensZimmermann1 (Jens Zimmermann) 1
730
+Zimmer, Prof. Dr. Matthias --> matthiaszimmer (Prof. Dr. Matthias Zimmer) 0
731
+
732
+Zimmermann, Dr. Jens --> JensZimmermann1 (Jens Zimmermann) 1
733
+
734
+Zimmermann, Pia --> JensZimmermann1 (Jens Zimmermann) 1
735
+
736
+Zimmermann, Sabine --> JensZimmermann1 (Jens Zimmermann) 1
737
+

+ 48
- 0
politiker-transform.R View File

@@ -0,0 +1,48 @@
1
+require(XML)
2
+require(stringr)
3
+
4
+setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
5
+
6
+mdb <- readLines("politiker2.txt")
7
+
8
+mdb_names <- unlist(str_extract_all(mdb, ".+?,.+?,"))
9
+mdb_names <- str_replace_all(mdb_names, ",$", "")
10
+
11
+mdb_party <- unlist(str_extract_all(mdb, "[[:alnum:] /]+$"))
12
+mdb_party <- str_replace_all(mdb_party, "^ ", "")
13
+
14
+mdb_party <- str_replace_all(mdb_party, "CDU/CSU", "cducsu")
15
+mdb_party <- str_replace_all(mdb_party, "Bündnis 90/Die Grünen", "gruene")
16
+mdb_party <- str_replace_all(mdb_party, "Die Linke", "linke")
17
+mdb_party <- str_replace_all(mdb_party, "SPD", "spd")
18
+
19
+mdb_list <- data.frame(name = mdb_names, party = mdb_party)
20
+
21
+write.csv(mdb_list, "politiker2.csv", row.names=FALSE)
22
+
23
+############
24
+
25
+list1 <- read.csv("politiker2.csv")
26
+list2 <- read.csv("politiker.csv")
27
+
28
+for(i in 1:nrow(list1)) {
29
+  detect <- FALSE
30
+  name1 <- as.character(list1$name[i])
31
+  lastname1 <- str_extract(name1, "\\w+")
32
+  
33
+  for(a in 1:nrow(list2)) {
34
+    name2 <- as.character(list2$name[a])
35
+    
36
+    if(str_detect(name2, lastname1)) {
37
+      detect <- TRUE
38
+      acc <- as.character(list2$screenname[a])
39
+      verif <- as.character(list2$verified[a])
40
+      result <- str_c(name1," --> ",acc," (",name2,") ",verif)
41
+      write(result, "merge.txt", append = TRUE)
42
+    }
43
+  }
44
+  if(detect) {
45
+    write("", "merge.txt", append = TRUE)
46
+  }
47
+  
48
+}

+ 370
- 0
politiker.csv View File

@@ -0,0 +1,370 @@
1
+name,screenname,verified
2
+Achim Post,Achim_P,0
3
+Agnes Krumwiede,AgnesKrumwiede,1
4
+Agnieszka Brugger,agnieszka_mdb,1
5
+Alexander S. Neu,AlexanderSNeu,0
6
+Andrea Lindholz,AndreaLindholz,0
7
+Andreas Mattfeldt,AMattfeldt,0
8
+Andreas Nick,DrAndreasNick,1
9
+Andreas Rimkus,SPDDuesseldorf,0
10
+Andreas Rimkus,SPDuesseldorf,0
11
+Andreas Schwarz,schwarz_spd,0
12
+Andreas Schwarz,Schwarz_MdB,1
13
+Andrej Hunko,AndrejHunko,0
14
+Anja Weisgerber,anjaweisgerber,0
15
+Annalena Baerbock,ABaerbock,1
16
+Annette Groth,Annette_Groth,0
17
+Annette Sawade,AnnetteSawade,1
18
+Arfst Wagner,Arfst_Wagner,1
19
+Armin Schuster,armin_schuster,1
20
+Astrid Klug,AstridKlug,1
21
+Axel Fischer,Axel_Fischer,0
22
+Aydan Özoguz,oezoguz,1
23
+Bärbel Bas,baerbelbas,1
24
+Bärbel Höhn,BaerbelHoehn,1
25
+Bärbel Kofler,BaerbelKofler,1
26
+Beate Müller-Gemmeke,GrueneBeate,1
27
+Beate Walter-Rosenheimer,BeateWaRo,0
28
+Bernd Siebert,BerndSiebert,0
29
+Bernhard Kaster,BernhardKaster,0
30
+Bettina Hornhues,BettinaHornhues,0
31
+Biggi Bender,BiggiBender,1
32
+Birgit Homburger,birgithomburger,1
33
+Birgit Malecha-Nissen,malechanissen,0
34
+Björn Sänger,bjoernsaenger,1
35
+Brigitte Pothmer,BrigittePothmer,1
36
+brigitte zypries,brigittezypries,1
37
+Britta Haßelmann,BriHasselmann,1
38
+Burkhard Lischka,LischkaB,1
39
+Burkhardt Müller-Sönksen,muellersoenksen,1
40
+Cansel Kiziltepe,CanselK,1
41
+Caren Lay,CarenLay,1
42
+Carsten Schneider,schneidercar,1
43
+CDU/CSU,cducsubt,1
44
+Chris Kühn,ChrisKuehn_mdb,0
45
+Christian Flisek,ChristianFlisek,1
46
+Christian Hirte,ChristianHirte,1
47
+Christian Lange,LangeMdB,1
48
+Christian Lindner,c_lindner,1
49
+Christina Kampmann,c_kampmann,1
50
+Christina Schwarzer,TinaSchwarzer,1
51
+Christine Aschenberg-Dugnus,cad59,1
52
+Christine Buchholz,ch_buchholz,1
53
+Christoph Schnurr,ch_schnurr,1
54
+Christoph Strässer,ChStraesser,1
55
+Claudia Rosina Tausend,ctausend,0
56
+Corinna Rüffer,crueffer,0
57
+Cornelia Möhring,Conni_Moehring,0
58
+Cornelia Pieper,CorneliaPieper,1
59
+Dagmar Schmidt,dieschmidt,0
60
+Dagmar Wöhrl,DWoehrl,1
61
+Dagmar Ziegler,ZieglerMdB,1
62
+Daniel Bahr,danielbahr,1
63
+Daniela Kolbe,danielakolbe,1
64
+Dennis Rohde,DennisRohde,1
65
+Detlev Pilger,DetlevPilger,1
66
+Diana Golze,GolzeMdB,0
67
+Dieter Janecek,DJanecek,1
68
+Dieter Stier,DieterStier,0
69
+Dietmar Bartsch,DietmarBartsch,0
70
+Doris Wagner,DorisWagner_MdB,1
71
+Dorothee Bär,DoroBaer,1
72
+Dorothée Menzner,DorotheeMenzner,0
73
+Dr. Andreas Scheuer,AndiScheuer,1
74
+Dr. Bernd Fabritius,BerndFabritius,1
75
+Dr. Birgit Reinemund,BirgitReinemund,1
76
+Dr. Carsten Sieling,carstensieling,1
77
+Dr. Dagmar Enkelmann,dagmarenkelmann,0
78
+Dr. Diether Dehm,Diether_Dehm,0
79
+Dr. Erik Schweickert,ErikSchweickert,1
80
+Dr. Ernst Dieter Rossmann,edrossmann,1
81
+Dr. Eva Högl,EvaHoegl,1
82
+Dr. Florian Toncar,florian_toncar,1
83
+Dr. Frank Steffel,franksteffel,1
84
+Dr. Franz Josef Jung,jungfj,0
85
+Dr. Gesine Lötzsch,Team_GLoetzsch,0
86
+Dr. Gesine Lötzsch,Team_GLoetzsch,0
87
+Dr. Gregor Gysi,GregorGysi,1
88
+Dr. Helge Braun,HBraun,1
89
+Dr. Hermann E. Ott,Hermann_Ott,1
90
+Dr. Hermann Otto Solms,solms,1
91
+Dr. iur. Georg Nüßlein,georgnuesslein,0
92
+Dr. Konstantin von Notz,KonstantinNotz,1
93
+Dr. Kristina Schröder,schroeder_k,1
94
+Dr. Lutz Knopek,LutzKnopek,1
95
+Dr. Martin Lindner,martin_lindner,1
96
+Dr. Martin Rosemann,MartinRosemann,0
97
+Dr. Matthias Heider,MatthiasHeider,0
98
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politiker2.csv View File

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