tidytext (version 0.3.2)

unnest_tweets: Wrapper around unnest_tokens for tweets

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". When the format is "text", this function uses the tokenizers package. 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

A character vector of variables to collapse text across, or NULL.

For tokens like n-grams or sentences, text can be collapsed across rows within variables specified by collapse before tokenization. At tidytext 0.2.7, the default behavior for collapse = NULL changed to be more consistent. The new behavior is that text is not collapsed for NULL.

Grouping data specifies variables to collapse across in the same way as collapse but you cannot use both the collapse argument and grouped data. Collapsing applies mostly to token options of "ngrams", "skip_ngrams", "sentences", "lines", "paragraphs", or "regex".

...

Extra arguments passed on to tokenizers

See Also

• unnest_tokens()

Examples

# NOT RUN {
library(dplyr)
tweets <- tibble(
   id = 1,
   txt = "@rOpenSci and #rstats see: https://cran.r-project.org"
)

tweets %>%
   unnest_tweets(out, txt)

# }