text mining with r a tidy approach english editio
he most common words, sentiment, and themes. Frequency of Words: ```r word_counts <- reviews %>% count(word, sort = TRUE) head(word_counts, 10) ``` Visualization: ```r word_counts %>% top_n(10) %>% ggplot(aes(x = reorder(word, n), y = n)) + geom_col() + coord_flip() + labs(title = "To