unnest_tweets: Wrapper around unnest_tokens for tweets

In insightdataintel/tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Description

This function is a wrapper around unnest_tokens( token = "tweets" ).

Usage

unnest_tweets(
  tbl,
  output,
  input,
  strip_punct = TRUE,
  strip_url = FALSE,
  format = c("text", "man", "latex", "html", "xml"),
  to_lower = TRUE,
  drop = TRUE,
  collapse = NULL,
  ...
)

Arguments

tbl	A data frame
output	Output column to be created as string or symbol.
input	Input column that gets split as string or symbol. The output/input arguments are passed by expression and support quasiquotation; you can unquote strings and symbols.
strip_punct	Should punctuation be stripped?
strip_url	Should URLs (starting with http(s)) be preserved intact, or removed entirely?
format	Either "text", "man", "latex", "html", or "xml". If not text, this uses the hunspell tokenizer, and can tokenize only by "word"
to_lower	Whether to convert tokens to lowercase. If tokens include URLS (such as with token = "tweets"), such converted URLs may no longer be correct.
drop	Whether original input column should get dropped. Ignored if the original input and new output column have the same name.
collapse	Whether to combine text with newlines first in case tokens (such as sentences or paragraphs) span multiple lines. If NULL, collapses when token method is "ngrams", "skip_ngrams", "sentences", "lines", "paragraphs", or "regex".
...	Extra arguments passed on to tokenizers

See Also

• unnest_tokens()

Examples

library(dplyr)
tweets <- tibble(
   id = 1,
   txt = "@rOpenSci and #rstats see: https://cran.r-project.org"
)

tweets %>%
   unnest_tweets(out, txt)

insightdataintel/tidytext documentation built on Aug. 23, 2020, 12:44 a.m.