;lksadj ;alsjkd asjk as;lkdj as;lkdj ;lkdj a;lsdkjhas ;ldkj askl;djas;lk djk ;ldkjas l;kjd ;lakj l;kajd ;ljk
vaccinated <- nyt_search('vaccinated', n=2000)
as.data.frame(vaccine) -> vaccinedf
View(vaccinedf)
library(tidytext)
vaccinedf %>%
unnest_tokens(word, lead_paragraph) %>%
anti_join(stop_words) %>%
count(word, sort = TRUE) %>%
inner_join(get_sentiments('afinn'))
word | n | value |
---|---|---|
crisis | 2 | -3 |
warning | 2 | -3 |
worse | 2 | -3 |
advantage | 1 | 2 |
care | 1 | 2 |
cry | 1 | -1 |
death | 1 | -2 |
devastating | 1 | -2 |
difficult | 1 | -1 |
discard | 1 | -1 |
envy | 1 | -1 |
escape | 1 | -1 |