unnest_regex: Wrapper around unnest_tokens for regular expressions

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

Wrapper around unnest_tokens for regular expressions

Description

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

Usage

unnest_regex(
  tbl,
  output,
  input,
  pattern = "\\s+",
  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.
pattern	A regular expression that defines the split.
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.
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

library(dplyr)
library(janeaustenr)

d <- tibble(txt = prideprejudice)

d %>%
  unnest_regex(word, txt, pattern = "Chapter [\\\\d]")

tidytext documentation built on May 29, 2024, 5:42 a.m.