R: tidytext Jane Austen Book
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library(janeaustenr) library(dplyr) library(stringr) original_books <- austen_books() %>% group_by(book) %>% mutate(linenumber = row_number(), chapter = cumsum(str_detect(text, regex("^chapter [\\divxlc]", ignore_case = TRUE)))) %>% ungroup() original_books
# konversi ke token # library(tidytext) tidy_books <- original_books %>% unnest_tokens(word, text) tidy_books
# buang stopwords # data(stop_words) tidy_books <- tidy_books %>% anti_join(stop_words)
# count # tidy_books %>% count(word, sort = TRUE)
# visualisasi # library(ggplot2) tidy_books %>% count(word, sort = TRUE) %>% filter(n > 600) %>% mutate(word = reorder(word, n)) %>% ggplot(aes(word, n)) + geom_col() + xlab(NULL) + coord_flip()