| #!/usr/bin/env Rscript |
| # |
| # Plot frequency of query expressions per topic domain |
| # |
| library(RKorAPClient) |
| library(ggplot2) |
| |
| freqPerDomain <- function(query, con = new("KorAPConnection", verbose = TRUE)) { |
| q <- corpusQuery(con, query = query, vc="") |
| q <- fetchAll(q) |
| tokensPerMainTopic <- |
| function(topic) { |
| return(corpusStats(con, sprintf("textClass = /%s.*/", topic))@tokens) |
| } |
| q@collectedMatches$primaryTopic <- |
| sapply(strsplit(as.character(q@collectedMatches$textClass), " "), `[[`, 1) |
| df <- as.data.frame(table(q@collectedMatches$primaryTopic, dnn = "Domain")) |
| df$total <- sapply(df$Domain, tokensPerMainTopic) |
| df$freq <- df$Freq / df$total |
| df$ci <- t(sapply(Map(prop.test, df$Freq, df$total), "[[","conf.int")) |
| g <- ggplot(data = df, mapping = aes(x = Domain, y = freq)) + |
| geom_col() + |
| geom_errorbar(aes(ymin=ci[, 1], ymax=ci[, 2]), width=.5, alpha=.5) + |
| ylab(sprintf("Observed frequency of “%s”", query)) + |
| theme(axis.text.x = element_text(angle = 45, hjust = 1)) |
| print(g) |
| df |
| } |
| df <- freqPerDomain("Hatespeech") |
| |