Add simple example frequencies / topic domains
Change-Id: I699cfab7d364b8e911d89ed316237fac9a4ce302
diff --git a/examples/simple/frequenciesOverDomains.R b/examples/simple/frequenciesOverDomains.R
new file mode 100644
index 0000000..c87a086
--- /dev/null
+++ b/examples/simple/frequenciesOverDomains.R
@@ -0,0 +1,30 @@
+#!/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")
+