1.6 Prepped Data
Now that the data is prepped, created a stylized review text.
prepped_hotel <-
token %>%
summarize(
.by = review_id,
prepped_review = paste(word, collapse = " "),
prepped_wrdcnt = n()
) %>%
inner_join(hotel_2, by = join_by(review_id)) %>%
relocate(prepped_review, prepped_wrdcnt, .after = last_col())
prepped_hotel %>%
select(review_id, review, prepped_review) %>%
head(n = 1) %>%
flextable::flextable() %>%
flextable::valign(valign = "top") %>%
flextable::autofit()
review_id | review | prepped_review |
---|---|---|
14,478 | Love Love Love The Savoy If you are looking for a luxe hotel that isn't stuffy this is the place for you You feel like a millionaire even if you're not one and it's a great place to hang out if you fancy keeping off the streets of London for a while Classy decor wonderful food and cocktails and the staff are wonderful it is an absolute allrounder and if I could afford it I would probably live there | love love love savoy luxe stuffy feel millionaire hang fancy street london classy decor wonderful food cocktail staff wonderful absolute allrounder afford live |