| #!/usr/bin/env Rscript |
| # |
| # Plot frequency of query expressions per topic domain |
| # |
| library(RKorAPClient) |
| library(ggplot2) |
| |
| freqPerDomain <- function(query, con = KorAPConnection(verbose = TRUE)) { |
| g <- corpusQuery(con, query = query, vc="") %>% |
| fetchAll() %>% |
| slot("collectedMatches") %>% |
| mutate(Domain = factor(sapply(strsplit(as.character(.$textClass), " "), `[[`, 1))) %>% |
| group_by(Domain) %>% |
| dplyr::filter(!is.na(Domain)) %>% |
| summarise(count = dplyr::n()) %>% |
| mutate(total = (corpusStats(con, sprintf("textClass = /%s.*/", .$Domain)))$tokens) %>% |
| ci(x = count) %>% |
| ipm() %>% |
| { df <- . } %>% |
| ggplot(aes(x = Domain, y = ipm, ymin = conf.low, ymax = conf.high)) + |
| geom_col() + |
| geom_errorbar(width = .3, alpha = .3) + |
| ylab(sprintf("Observed frequency/million of \u201c%s\u201d", query)) + |
| theme(axis.text.x = element_text(angle = 45, hjust = 1)) |
| print(g) |
| df |
| } |
| df <- freqPerDomain("Hatespeech") |
| |