Prepare data for text analysis.

Create a tidy data.frame of unigrams.

tidify_to_unigrams_at(data = NULL, text = "text", rgx_pattern,
  rgx_replacement, rgx_unnest, stopwords = TRUE, stopwords_lexicon,
  rgx_ignore_custom)

tidify_to_unigrams(..., text)

Arguments

data	data.frame. Not in 'tidy' format.
text	bare for NSE; character for SE. Name of column in data to parse.
rgx_pattern	character. Regular expression to substitute.
rgx_replacement	character. Regular expression used as replacement.
rgx_unnest	character. Regular expression to use in tidytext::unnest_tokens(). If not specified, then not used.
stopwords	logical. Whether or not to remove stopwords. Default: TRUE
stopwords_lexicon	character. If not specified, then uses all stop words available in tidytext package. Otherwise, must be a lexicon available in the tidytext package.
rgx_ignore_custom	character. Custom regular expression to remove.
...	dots. Parameters to pass directly to visualize_time().

Value

data.frame.

Details

Heavily influenced by Text Mining with R. Creates output column 'word'.

See also

Text Mining with R. https://www.tidytextmining.com/ngrams.html. https://www.tidytextmining.com/twitter.html.