Corrent status
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@@ -34,6 +34,13 @@ checkAllIssues <- function(string, issuelist) {
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# Read CSV of all tweets (with tags, if available)
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c_tweets <- read.csv("tweets.csv", colClasses="character")
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# Replace quotes because it may cause problems when saving and reading as CSV files
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for(r in 1:nrow(c_tweets)) {
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curtext <- as.character(c_tweets$text[r])
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if(str_detect(curtext, "\"")) {
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c_tweets$text[r] <- str_replace(curtext, "\"", "")
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}
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}
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c_tweets$X <- NULL
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# Read all issues from XML file
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@@ -66,10 +73,24 @@ for(r in 1:nrow(c_errors)) {
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c_errtext <- as.character(c_errors$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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cat("===============\n\n[TWEET]: ",c_errtext,"\n[ISSUES]: ", c_errissue, " (", c_errtags, ")\n", sep="")
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source("issuecomp-codingsample-function2.R")
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}
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# Now import the error files in a human readable data frame to improve the issue database
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# All tweets with WRONG ISSUES
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c_tmp <- read.csv("issuecomp-codingsample-error1.csv", header = F, colClasses="character")
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names(c_tmp) <- c("str_id", "all", "wrong", "tagged", "text")
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c_error1 <- c_tmp[, c("wrong", "tagged", "all", "text")]
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# All tweets with MISSING ISSUES
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c_tmp <- read.csv("issuecomp-codingsample-error2.csv", header = F, colClasses="character")
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names(c_tmp) <- c("str_id", "all", "missing", "tagged", "text")
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c_error2 <- c_tmp[, c("missing", "text", "tagged", "all")]
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# All CORRECT tweets
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c_tmp <- read.csv("issuecomp-codingsample-correct.csv", header = F, colClasses="character")
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names(c_tmp) <- c("str_id", "status", "issue", "tags", "text")
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c_correct <- c_tmp
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