before changing fuzzy matching because it sucks
This commit is contained in:
@@ -1,381 +1,3 @@
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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$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$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_curissue
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c_curtags
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c_errissue
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c_errtags
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c_errid
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delrow <- NULL
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for(r in 1:nrow(tweets)) {
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if(format(tweets$created_at[r], "%Y") != "2014") {
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delrow <- c(delrow, r)
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}
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curtext <- as.character(tweets$text[r])
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curtext <- str_replace_all(curtext, "$", " ")
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curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
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}
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r
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require(stringr)
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View(tweets)
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df <- data.frame(x= c("zeile1","zeile2"))
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View(df)
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df$x[1] <- "blabla"
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View(df)
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df <- data.frame(x= c("zeile1","zeile2"))
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test <- "bla bla"
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df$x[1] <- test
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View(df)
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df$x[1] <- as.character(test)
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class(df$x)
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df$x[1] <- as.factor(test)
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head(tweet)
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head(tweets)
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df <- head(tweets)
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View(df)
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df$text[1] <- "test"
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View(tweets)
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View(df)
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for(r in 1:nrow(tweets)) {
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# if(format(tweets$created_at[r], "%Y") != "2014") {
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# delrow <- c(delrow, r)
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# }
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curtext <- as.character(tweets$text[r])
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curtext <- str_replace_all(curtext, "$", " ")
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curtext <- str_replace_all(curtext, "http://.+?\\s", "URL ")
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tweets$text[r] <- curtext
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}
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View(tweets)
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View(c_tweets)
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rm(delrow, r)
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save(tweets, file="tweets_untagged.RData")
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row.names(tweets) <- NULL
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write.csv(tweets, "tweets.csv")
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save(tweets, file="tweets.RData")
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c_tweets <- read.csv("tweets.csv")
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c_tweets$X <- NULL
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View(c_tweets)
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viewMatchingTweets
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c_tweets <- read.csv("tweets.csv", colClasses="character")
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c_tweets$X <- NULL
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View(c_tweets)
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View(c_issues)
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c_errtags
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for(r in 1:nrow(c_errors)) {
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c_errcode <- as.character(c_errors$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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curissue
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c_curissue
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str_join(c_curissue)
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str_join(c_curissue,collapse = NULL)
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str_join(c_curissue,sep=";",collapse = NULL)
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paste(c_curissue,sep = "")
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paste(c_curissue,sep = '')
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length(paste(c_curissue,sep = ''))
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str_join(c_curissue,sep=";",collapse = "")
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str_join(c_curissue,sep=";",collapse = "w")
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str_join(c_curissue,collapse = ";")
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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$str_id[r])
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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errtags, "\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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require(jsonlite)
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require(stringr)
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require(devtools)
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require(RTwitterAPI)
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setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
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source("issuecomp-functions.R")
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acc_df <- read.csv("MdB-twitter.csv")
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delrow <- NULL
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for(r in 1:nrow(acc_df)) {
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acc <- as.character(acc_df$twitter_acc[r])
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if(!nzchar(acc)) {
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delrow <- c(delrow, r)
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}
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}
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acc_df <- acc_df[-delrow, ]
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rm(delrow, r, acc)
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acc_df$row.names <- NULL
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row.names(acc_df) <- NULL
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require(lubridate)
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require(XML)
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require(ggplot2)
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require(reshape2)
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require(stringr)
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source("issuecomp-functions.R")
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load("tweets.RData")
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View(tweets)
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View(tweets)
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View(tweets)
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date_start <- as.Date("2014-01-01")
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date_start + days
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date_start + days(1)
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date_start + days(0)
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date_start + days(0:2)
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date_start <- as.Date("2014-01-01")
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date_end <- as.Date("2014-12-31")
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drange <- as.integer(date_end - date_start)
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drange <- date_start + days(0:drange)
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curdate <- date_start + days(2)
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curdate
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tweets[tweets[, "created_at"] == curdate, "msg_id"]
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View(tweets)
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curdate
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tweets[tweets[, "created_at"] == "2014-01-01", "msg_id"]
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tweets[tweets[, "created_at"] == curdate, "id_str"]
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drange
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length(tweets[tweets[, "created_at"] == curdate, "id_str"])
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length(tweets[tweets[, "created_at"] == curdate+1, "id_str"])
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length(tweets[tweets[, "created_at"] == curdate+15, "id_str"])
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stats <- data.frame(x=NULL)
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View(stats)
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stats <- data.frame(date=drange)
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View(stats)
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stats$tpd <- NULL
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stats$tpd <- ""
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stats$tpd <- NULL
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stats$tpd[1] <- 2
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View(stats)
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stats$tpd[2] <- 3
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View(stats)
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stats$tpd <- ""
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stats$tpd <- NULL
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stats$tpd <- ""
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stats$tpd[1] <- 2
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View(tweets)
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View(stats)
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stats <- data.frame(date=drange)
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stats$tpd <- ""
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# Total number of tweets per day over time
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for(r in 1:length(drange)) {
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stats$tpd[r] <- length(tweets[tweets[, "created_at"] == curdate, "id_str"])
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}
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View(stats)
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drange[2]
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stats <- data.frame(date=drange)
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stats$tpd <- ""
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# Total number of tweets per day over time
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for(r in 1:length(drange)) {
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stats$tpd[r] <- length(tweets[tweets[, "created_at"] == drange[r], "id_str"])
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}
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View(stats)
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plot.ts(x = stats$tpd, y=stats$date)
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plot.ts(x = stats$date, y=stats$tpd)
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g1 <- ggplot(stats, aes(date,tpd))
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g1 <- g1 + geom_histogram(fill="steelblue", stat="identity")
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g1 <- g1 + stat_smooth(size=1,colour="red",method="loess", se=FALSE)
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g1 <- gg1 + ggtitle("Zeitliche Entwicklung von plötzlichen Medienfokussen") + xlab("Einzelne Monate") + ylab("Plötzliche Medienfokusse")
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g1
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g1 <- ggplot(stats, aes(date,tpd))
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g1 <- g1 + geom_histogram(fill="steelblue", stat="identity")
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g1
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g1 <- g1 + stat_smooth(size=1,colour="red",method="loess", se=FALSE)
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g1
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g1 <- ggplot(stats, aes(date,tpd))
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g1 <- g1 + geom_line()
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g1
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g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd, color=black))
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g1
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g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd, color="black"))
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g1
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g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
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g1
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ggplot(stats, aes(date, tpd)) + geom_line() +
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scale_x_date(format = "%b-%Y") + xlab("") + ylab("Daily Views")
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ggplot(stats, aes(date, tpd)) + geom_line() +
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scale_x_date() + xlab("") + ylab("Daily Views")
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lapply(stats, class)
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stats$tpd <- 0
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lapply(stats, class)
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stats <- data.frame(date=drange)
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stats$tpd <- 0
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# Total number of tweets per day over time
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for(r in 1:length(drange)) {
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stats$tpd[r] <- length(tweets[tweets[, "created_at"] == drange[r], "id_str"])
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}
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View(stats)
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plot.ts(x = stats$date, y=stats$tpd)
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g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
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g1
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ggplot(stats, aes(date, tpd)) + geom_line() +
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scale_x_date() + xlab("") + ylab("Daily Views")
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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stats_smooth(size=1,colour="red",method="loess", se=FALSE)
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g1
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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stat_smooth(size=1,colour="red",method="loess", se=FALSE)
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g1
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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stat_smooth(colour="red",method="loess", se=FALSE)
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g1
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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stat_smooth(colour="red",method="lm", se=FALSE)
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g1
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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geom_smooth(colour="red",method="lm", se=FALSE)
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g1
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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geom_smooth(colour="red",method="loess", se=FALSE)
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g1
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g1 <- ggplot() +
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geom_line(data = stats, aes(x=date,y=tpd)) +
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geom_smooth(size=1,colour="red",method="loess", se=FALSE)
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g1
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g1 <- g1 + geom_smooth(size=1,colour="red", method="loess", se=FALSE)
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g1
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g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
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g1 <- g1 + geom_smooth(size=1,colour="red", method="loess", se=FALSE)
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g1
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g1 <- ggplot() + geom_line(data = stats, aes(x=date,y=tpd))
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g1
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g1 + geom_smooth()
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g1 + geom_smqwd
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd))
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g1
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g1 <- g1 + geom_smooth(size=1,colour="red", method="loess", se=FALSE)
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g1
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd))
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g1 <- g1 + geom_smooth(size=1,method="loess", se=FALSE)
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g1
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd))
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g1 <- g1 + geom_smooth(size=1,method="loess", se=FALSE, aes(group=1))
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g1
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd)) +
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geom_smooth(size=1,method="loess", se=FALSE, aes(group=1))
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g1
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd)) +
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geom_smooth(size=1,method="loess", se=FALSE, aes(x = date, y=tpd))
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g1
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geom_smooth(size=1,method="loess", se=FALSE)
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd)) +
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geom_smooth(size=1,method="loess", se=FALSE)
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g1
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plot.ts(x = stats$date, y=stats$tpd)
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g1 <- ggplot() + geom_point(data = stats, aes(x=date,y=tpd, color=group)) +
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geom_smooth(size=1,method="loess", se=FALSE)
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g1
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install.packages(c("BH", "bibtex", "devtools", "dplyr", "httr", "jsonlite", "lazyeval", "manipulate", "RCurl", "ROAuth", "rstudioapi", "sp", "stringi"))
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g1 <- ggplot(data = stats, aes(x=date,y=tpd, color=variable, group=variable)) +
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE)
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g1
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stats_melt <- melt(stats, id="date")
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View(stats_melt)
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View(stats_melt)
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stats_melt <- melt(stats, id="date")
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g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=variable, group=variable)) +
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE)
|
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g1
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g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=1, group=variable)) +
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE)
|
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g1
|
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g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=1, group=variable)) +
|
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, colors="red")
|
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g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color=1, group=variable)) +
|
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
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||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color="black", group=variable)) +
|
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,color="yellow", group=variable)) +
|
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geom_line() +
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geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour="black", group=variable)) +
|
||||
geom_line() +
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||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour="#FFFFFF", group=variable)) +
|
||||
geom_line() +
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||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour="vqwdqw", group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour=variable, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour=1, group=variable)) +
|
||||
geom_line() +
|
||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color="red")
|
||||
g1
|
||||
g1 <- ggplot(data = stats_melt, aes(x=date,y=value,colour=variable, group=variable)) +
|
||||
geom_line() +
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||||
geom_smooth(size=1,formula = y ~ x, method="loess", se=FALSE, color=1)
|
||||
g1
|
||||
require(lubridate)
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||||
require(XML)
|
||||
require(ggplot2)
|
||||
require(reshape2)
|
||||
require(stringr)
|
||||
source("issuecomp-functions.R")
|
||||
rm(curdate)
|
||||
rm(date_end, date_start)
|
||||
rm(g1, r, )
|
||||
rm(g1, r)
|
||||
id_folder <- "matched-ids"
|
||||
unlink(id_folder, recursive = TRUE)
|
||||
dir.create(id_folder)
|
||||
issues <- data.frame(date = drange)
|
||||
View(issues)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issuelist
|
||||
issueheads <- names(issuelist)
|
||||
issueheads
|
||||
issues[issueheads] <- 0
|
||||
tweets$issue <- ""
|
||||
tweets$tags <- ""
|
||||
View(issues)
|
||||
# MATCH TWEETS ------------------------------------------------------------
|
||||
id_folder <- "matched-ids"
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||||
unlink(id_folder, recursive = TRUE)
|
||||
dir.create(id_folder)
|
||||
issues <- data.frame(date = drange)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issueheads <- names(issuelist)
|
||||
issues[issueheads] <- 0
|
||||
tweets$issue <- ""
|
||||
tweets$tags <- ""
|
||||
for(d in 1:nrow(issues)) {
|
||||
# Go through every day
|
||||
@@ -510,3 +132,381 @@ return(status)
|
||||
}
|
||||
require(stringr)
|
||||
require(XML)
|
||||
require(stringr)
|
||||
require(XML)
|
||||
# FUNCTIONS ---------------------------------------------------------------
|
||||
readYN <- function(question) {
|
||||
n <- readline(prompt=question)
|
||||
n <- as.character(n)
|
||||
return(n)
|
||||
}
|
||||
checkIssue <- function(string, issuelist) {
|
||||
status <- any(str_detect(string, issuelist))
|
||||
return(status)
|
||||
}
|
||||
checkAllIssues <- function(string, issuelist) {
|
||||
status <- NULL
|
||||
for(i in 1:length(string)) {
|
||||
if(checkIssue(string[i], issuelist)) {
|
||||
status[i] <- TRUE
|
||||
}
|
||||
else {
|
||||
cat("Issue",string[i],"does not exist. Please try again.\n")
|
||||
status[i] <- FALSE
|
||||
}
|
||||
}
|
||||
return(status)
|
||||
}
|
||||
c_issues <- data.frame(date = drange)
|
||||
c_issuelist <- xmlToList("issues.xml")
|
||||
c_issueheads <- names(issuelist)
|
||||
c_issues[issueheads] <- 0
|
||||
source("issuecomp-codingsample-function.R")
|
||||
c_tweets <- tweets
|
||||
View(c_tweets)
|
||||
source("issuecomp-codingsample-function.R")
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrechte\\b", 13, FALSE)
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
pattern <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) {
|
||||
cat("bla")
|
||||
found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrechte\\b", 13, FALSE)
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
pattern <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
pattern <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrechte\\b", 13, FALSE)
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenracht\\b", 13, FALSE)
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschenrechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschen-recht\\b", 13, FALSE)
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschen-Rechten. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
|
||||
smartPatternMatch("Höflich, aber klares Statement zu Menschen-Rechte. Der Bundespräsident macht das gut! #China #XiJinping URL ", "\\bMenschenrecht\\b", 13, FALSE)
|
||||
smartPatternMatch("Bla bla Tomate ", "\\Tomate\\b", 6, FALSE)
|
||||
smartPatternMatch("Bla bla Tomaten bla bla", "\\Tomate\\b", 6, FALSE)
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
pattern <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else {
|
||||
found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
smartPatternMatch("Bla bla Tomaten bla bla", "\\Tomate\\b", 6, FALSE)
|
||||
smartPatternMatch("Bla bla Menschen bla bla", "\\Menschen\\b", 8, FALSE)
|
||||
smartPatternMatch("Bla bla Menschen bla bla", "\\Menschen\\b", 7, FALSE)
|
||||
smartPatternMatch("Bla bla Menschen bla bla", "\\Mensch\\b", 7, FALSE)
|
||||
smartPatternMatch("Bla bla Menschen bla bla", "\\Mensch\\b", 8, FALSE)
|
||||
smartPatternMatch("Bla bla Nazis bla bla", "\\Nazis\\b", 8, FALSE)
|
||||
smartPatternMatch("Bla bla Nazis bla bla", "\\Nazis\\b", 5, FALSE)
|
||||
smartPatternMatch("Bla bla Nazis bla bla", "\\Nazi\\b", 4, FALSE)
|
||||
smartPatternMatch("Bla bla Nazi bla bla", "\\Nazis\\b", 5, FALSE)
|
||||
source("issuecomp-codingsample-function.R")
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
|
||||
str_detect("Der kleine Flüchtlingsjunge war", pattern = "\\bFlüchtling\\b")
|
||||
str_detect("Der kleine Flüchtlingsjunge war", pattern = "Flüchtling")
|
||||
str_detect("Der kleine Flücht lingsjunge war", pattern = "Flüchtling")
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
pattern <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) { # 4 or less
|
||||
found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) { # 8 or more
|
||||
found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
|
||||
cat(found)
|
||||
}
|
||||
else { # 5,6,7
|
||||
found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
str_detect("Der kleine Flücht lingsjunge war", pattern = "Flüchtling")
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
pattern <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) { # 4 or less
|
||||
found <- agrep(pattern, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) { # 8 or more
|
||||
found <- agrep(pattern, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
|
||||
cat("it's",found)
|
||||
}
|
||||
else { # 5,6,7
|
||||
found <- agrep(pattern, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
|
||||
str_detect("Der kleine Flücht lingsjunge war", pattern = "Flüchtling")
|
||||
str_detect("Der kleine Flüchtlingsjunge war", pattern = "Flüchtling")
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "\\bFlüchtling\\b", 9, FALSE)
|
||||
smartPatternMatch("Der kleine Flüchtlinge war", "\\bFlüchtling\\b", 9, FALSE)
|
||||
grep("Flüchtling","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
|
||||
grep("\\bFlüchtling\\b","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
|
||||
grep("\\bFlüchtling\\b","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=TRUE)
|
||||
grep("\\bFlüchtling\\b","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
|
||||
grep("Flüchtling","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
|
||||
grep("Flüchtling","Der kleine Flücht-lingsjunge war", ignore.case = TRUE, fixed=FALSE)
|
||||
grep("Flüchtling","Der kleine Flüchtlingsjunge war", ignore.case = TRUE, fixed=FALSE)
|
||||
smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
patternrex <- str_c("\\b", pattern, "\\b")
|
||||
if(chars <= 4) { # 4 or less
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) { # 8 or more
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
|
||||
if(convertLogical0(found) == 0) {
|
||||
found <- grep(pattern, string, ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
}
|
||||
else { # 5,6,7
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
}
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "Flüchtling", 9, FALSE)
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "Flüchtling", 9, FALSE)
|
||||
smartPatternMatch("Der kleine Flüchtlingsjunge war", "Flüchtling", 7, FALSE)
|
||||
c_errors <- read.csv("issuecomp-codingsample-error.csv", header = F, sep=",", colClasses="character")
|
||||
names(c_errors) <- c("str_id", "code", "issue", "tags", "text")
|
||||
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_errtags, "\n", sep="")
|
||||
source("issuecomp-codingsample-function2.R")
|
||||
}
|
||||
View(c_errors)
|
||||
viewMatchingTweets(date = "2014-05-10", issue = "agrar.204", id_folder)
|
||||
viewMatchingTweets(date = "2014-05-10", issue = "agrar.402", id_folder)
|
||||
viewMatchingTweets(date = "2014-01-10", issue = "agrar.402", id_folder)
|
||||
viewMatchingTweets(date = "2014-01-20", issue = "agrar.402", id_folder)
|
||||
viewMatchingTweets(date = "2014-01-10", issue = "agrar.403", id_folder)
|
||||
viewMatchingTweets(date = "2014-04-10", issue = "agrar.403", id_folder)
|
||||
viewMatchingTweets(date = "2014-05-10", issue = "agrar.403", id_folder)
|
||||
viewMatchingTweets(date = "2014-02-11", issue = "agrar.403", id_folder)
|
||||
viewMatchingTweets(date = "2014-08-01", issue = "agrar.403", id_folder)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issuelist
|
||||
issuelist[[1]]
|
||||
xmlTreeParse(file = "issues.xml")
|
||||
View(issues)
|
||||
issuelist
|
||||
issueheads
|
||||
issuelist[[1]]
|
||||
issuelist2 <- xmlTreeParse(file = "issues.xml")
|
||||
issuelist2[[1]]
|
||||
issuelist2[[2]]
|
||||
issuelist2[[1,2]]
|
||||
issuelist2[1
|
||||
issuelist2[1]
|
||||
issuelist2$doc$file
|
||||
issuelist2$doc$version
|
||||
xmlParse("issues.xml")
|
||||
issuelist2 <- xmlParse("issues.xml")
|
||||
issuelist2[1]
|
||||
issuelist2[2]
|
||||
issuelist2
|
||||
issuelist
|
||||
issuelist$edu.606
|
||||
issuelist$edu.606[1]
|
||||
issuelist$edu.606[2]
|
||||
issuelist$edu.606[3]
|
||||
issueheads
|
||||
issuelist$macro.100
|
||||
length(issuelist$macro.100)
|
||||
length(issuelist$macro.101)
|
||||
length(issuelist$macro.103)
|
||||
length(issuelist$macro.105)
|
||||
issuelist$macro.105
|
||||
issuelist$macro.105[2]
|
||||
issueheads
|
||||
as.character(issuelist[[1]])
|
||||
as.character(issuelist[[2]])
|
||||
test <- issueheads[1]
|
||||
test
|
||||
as.character(issuelist$test)
|
||||
as.character(issuelist$macro.100)
|
||||
as.character(issuelist[test])
|
||||
as.character(issuelist[test,1])
|
||||
as.character(issuelist[1,test])
|
||||
as.character(issuelist[test])
|
||||
issuelist[test]
|
||||
issuelist[test]
|
||||
length(issuelist[test])
|
||||
length(issuelist$macro.100)
|
||||
issuelist$macro.100
|
||||
test
|
||||
issuelist[test]
|
||||
issuelist[,test]
|
||||
issuelist[,as.character(test)]
|
||||
issuelist[[test]]
|
||||
issuelist[,test]
|
||||
issuelist[test]
|
||||
issuelist[[test]]
|
||||
length(issuelist[[test]])
|
||||
issuelist[[test]]
|
||||
issuelist[[test]][1]
|
||||
as.character(issuelist[[test]][1])
|
||||
as.character(issuelist[[test]])
|
||||
issueheads
|
||||
issueheads[2]
|
||||
as.character(issuelist[[i]])
|
||||
as.character(issuelist[[1]])
|
||||
as.character(issuelist[[test]])
|
||||
i <- 1
|
||||
curissue <- issueheads[i]
|
||||
curtags <- as.character(issuelist[[curissue]])
|
||||
curfile <- str_c(id_folder,"/",curissue,".csv")
|
||||
curissue
|
||||
curtags
|
||||
curfile
|
||||
curtags[2]
|
||||
# MATCH TWEETS ------------------------------------------------------------
|
||||
id_folder <- "matched-ids"
|
||||
unlink(id_folder, recursive = TRUE)
|
||||
dir.create(id_folder)
|
||||
issues <- data.frame(date = drange)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issueheads <- names(issuelist)
|
||||
issues[issueheads] <- 0
|
||||
tweets$issue <- ""
|
||||
tweets$tags <- ""
|
||||
for(d in 1:nrow(issues)) {
|
||||
# Go through every day
|
||||
curdate <- issues$date[d]
|
||||
cat(as.character(curdate),"\n")
|
||||
# Put all tweets from specific day in a temporary DF
|
||||
tweets_curday <- tweets[tweets[, "created_at"] == curdate, ]
|
||||
for(t in 1:nrow(tweets_curday)){
|
||||
# Select tweet's text, make it lowercase and remove hashtag indicators (#)
|
||||
curtext <- as.character(tweets_curday$text[t])
|
||||
curtext <- str_replace_all(curtext, "#", "")
|
||||
curid <- as.character(tweets_curday$id_str[t])
|
||||
# Now test each single issue (not tag!)
|
||||
for(i in 1:length(issueheads)) {
|
||||
curissue <- issueheads[i]
|
||||
curtags <- as.character(issuelist[[curissue]])
|
||||
curfile <- str_c(id_folder,"/",curissue,".csv")
|
||||
# Now test all tags of a single issue
|
||||
for(s in 1:length(curtags)) {
|
||||
curtag <- curtags[s]
|
||||
curchars <- nchar(curtag, type = "chars")
|
||||
# Check if tag is an acronym. If so, ignore.case will be deactivated in smartPatternMatch
|
||||
if(curchars <= 4) {
|
||||
curacro <- checkAcronym(string = curtag, chars = curchars)
|
||||
} else {
|
||||
curacro <- FALSE
|
||||
}
|
||||
# Match current tweet with tag. If >= 5 letters allow 1 changed letter, if >=8 letters allow 2 (Levenshtein distance)
|
||||
tags_found <- smartPatternMatch(curtext, curtag, curchars, curacro)
|
||||
if(tags_found == 1) {
|
||||
# Raise number of findings on this day for this issue by 1
|
||||
issues[d,curissue] <- issues[d,curissue] + 1
|
||||
# Add issue and first matched tag of tweet to tweets-DF
|
||||
oldissue <- tweets[tweets[, "id_str"] == curid, "issue"]
|
||||
tweets[tweets[, "id_str"] == curid, "issue"] <- str_c(oldissue, curissue, ";")
|
||||
oldtag <- tweets[tweets[, "id_str"] == curid, "tags"]
|
||||
tweets[tweets[, "id_str"] == curid, "tags"] <- str_c(oldtag, curtag, ";")
|
||||
# Add information to file for function viewPatternMatching
|
||||
write(str_c(curdate,";\"",curid,"\";",curtag), curfile, append = TRUE)
|
||||
break
|
||||
}
|
||||
else {
|
||||
#cat("Nothing found\n")
|
||||
}
|
||||
} # /for curtags
|
||||
} # /for issuelist
|
||||
} # /for tweets_curday
|
||||
} # /for drange
|
||||
smartPatternMatch(string = "er ist pädophil ", pattern = "pädophilie", chars = 10, acronym = FALSE)
|
||||
smartPatternMatch(string = "er ist pädophiler ", pattern = "pädophilie", chars = 10, acronym = FALSE)
|
||||
smartPatternMatch(string = "er ist pädophiler ", pattern = "Pädophilie", chars = 10, acronym = FALSE)
|
||||
smartPatternMatch(string = "er ist pädophiles ", pattern = "Pädophilie", chars = 10, acronym = FALSE)
|
||||
id_folder <- "matched-ids"
|
||||
unlink(id_folder, recursive = TRUE)
|
||||
dir.create(id_folder)
|
||||
issues <- data.frame(date = drange)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issueheads <- names(issuelist)
|
||||
issues[issueheads] <- 0
|
||||
tweets$issue <- ""
|
||||
tweets$tags <- ""
|
||||
issueheads
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issuelist
|
||||
issueheads
|
||||
View(issues)
|
||||
issuelist$text
|
||||
issuelist$macro.100
|
||||
issuelist$macro.101
|
||||
issuelist$text
|
||||
issuelist$text <- NULL
|
||||
issueheads <- names(issuelist)
|
||||
issueheads
|
||||
issuelist
|
||||
issuelist$text <- ""
|
||||
issuelist
|
||||
issuelist$text <- NA
|
||||
issuelist
|
||||
issuelist$text
|
||||
issuelist$text[1]
|
||||
issuelist$text[2]
|
||||
issuelist$text[6]
|
||||
issuelist$text[10]
|
||||
issues <- data.frame(date = drange)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issues <- data.frame(date = drange)
|
||||
issuelist <- xmlToList("issues.xml")
|
||||
issueheads <- names(issuelist)
|
||||
issues[issueheads] <- 0
|
||||
tweets$issue <- ""
|
||||
tweets$tags <- ""
|
||||
View(tweets)
|
||||
|
||||
@@ -33,14 +33,14 @@ smartPatternMatch <- function(string, pattern, chars, acronym) {
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 0), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
else if(chars >= 8) { # 8 or more
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 3), ignore.case = !acronym, fixed = FALSE)
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
# Give longer words a chance by ignoring word boundaries \\b
|
||||
if(convertLogical0(found) == 0) {
|
||||
found <- grep(pattern, string, ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
}
|
||||
else { # 5,6,7
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 2), ignore.case = !acronym, fixed = FALSE)
|
||||
found <- agrep(patternrex, string, max.distance = list(all = 1), ignore.case = !acronym, fixed = FALSE)
|
||||
}
|
||||
found <- convertLogical0(found)
|
||||
return(found)
|
||||
|
||||
+24
-3
@@ -1,5 +1,4 @@
|
||||
<issuelist>
|
||||
# Makroökonomie
|
||||
<macro.100>
|
||||
<tag>Wirtschaft</tag>
|
||||
<tag>Wirtschaftswachstum</tag>
|
||||
@@ -38,7 +37,7 @@
|
||||
<tag>Solidaritätszuschlag</tag>
|
||||
<tag>Erbschaftssteuer</tag>
|
||||
<tag>Erbsteuer</tag>
|
||||
KFZ-Steuer
|
||||
<tag>KFZ-Steuer</tag>
|
||||
<tag>Alkoholsteuer</tag>
|
||||
<tag>Steueroase</tag>
|
||||
</macro.107>
|
||||
@@ -73,7 +72,7 @@ KFZ-Steuer
|
||||
</civil.201>
|
||||
<civil.206>
|
||||
<tag>Wahlrecht</tag>
|
||||
NPD-Verbot
|
||||
<tag>NPD-Verbot</tag>
|
||||
</civil.206>
|
||||
<civil.207>
|
||||
<tag>Versammlungsfreiheit</tag>
|
||||
@@ -439,4 +438,26 @@ NPD-Verbot
|
||||
<tag>Rechtschreibreform</tag>
|
||||
<tag>neue deutsche Rechtschreibung</tag>
|
||||
</edu.699>
|
||||
<sens.nsa>
|
||||
<tag>NSA</tag>
|
||||
<tag>Überwachung</tag>
|
||||
<tag>Snowden</tag>
|
||||
<tag>GCHQ</tag>
|
||||
<tag>BND</tag>
|
||||
</sens.nsa>
|
||||
<sens.is>
|
||||
<tag>Irak</tag>
|
||||
<tag>ISIS</tag>
|
||||
<tag>IS</tag>
|
||||
<tag>Kalifat</tag>
|
||||
</sens.is>
|
||||
<sens.ebola>
|
||||
<tag>ebola</tag>
|
||||
</sens.ebola>
|
||||
<sens.edathy>
|
||||
<tag>Edathy</tag>
|
||||
<tag>Kinderpornografie</tag>
|
||||
<tag>Kinderporno</tag>
|
||||
<tag>Pädophilie</tag>
|
||||
</sens.edathy>
|
||||
</issuelist>
|
||||
|
||||
Reference in New Issue
Block a user