R: sentiments analysis
Revision as of 16:58, 8 November 2018 by Onnowpurbo (talk | contribs)
library(tidytext) sentiments
get_sentiments("afinn")
get_sentiments("bing")
get_sentiments("nrc")
library(janeaustenr)
library(dplyr)
library(stringr)
tidy_books <- austen_books() %>%
group_by(book) %>%
mutate(linenumber = row_number(),
chapter = cumsum(str_detect(text, regex("^chapter [\\divxlc]",
ignore_case = TRUE)))) %>%
ungroup() %>%
unnest_tokens(word, text)
nrcjoy <- get_sentiments("nrc") %>%
filter(sentiment == "joy")
tidy_books %>%
filter(book == "Emma") %>%
inner_join(nrcjoy) %>%
count(word, sort = TRUE)