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Text Mining With R
Text Mining With R
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Text Mining With R -
with a bar chart:
word_counts %>% filter(n > 500) %>% ggplot(aes(x = reorder(word, n), y = n)) + geom_col(fill = "steelblue") + coord_flip() + labs(title = "Most Frequent Words in Jane Austen's Novels", x = "Word", y = "Count") + theme_minimal() Sentiment lexicons (e.g., AFINN , bing , nrc ) assign emotional valence to words. Text Mining With R
data(stop_words) cleaned_austen <- tidy_austen %>% anti_join(stop_words, by = "word") Count most common words: with a bar chart: word_counts %>% filter(n >
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