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

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

unnest_paragraphs(
  tbl,
  output,
  input,
  paragraph_break = "\n\n",
  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?

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

paragraph_break

A string identifying the boundary between two paragraphs.

See also

Examples

library(dplyr) library(janeaustenr) d <- tibble(txt = prideprejudice) d %>% unnest_sentences(word, txt)
#> # A tibble: 15,545 x 1 #> word #> <chr> #> 1 "pride and prejudice" #> 2 "by jane austen" #> 3 "chapter 1" #> 4 "it is a truth universally acknowledged, that a single man in possession" #> 5 "of a good fortune, must be in want of a wife." #> 6 "however little known the feelings or views of such a man may be on his" #> 7 "first entering a neighbourhood, this truth is so well fixed in the minds" #> 8 "of the surrounding families, that he is considered the rightful property" #> 9 "of some one or other of their daughters." #> 10 "\"my dear mr." #> # … with 15,535 more rows