textFeats: Create features out of text

In lares: Analytics & Machine Learning Sidekick

Create features out of text

Description

This function creates a data.frame with features based on a text vector

Usage

textFeats(text, auto = TRUE, contains = NA, prc = FALSE)

Arguments

text	Character vector
auto	Boolean. Auto create some useful parameters?
contains	Character vector. Which columns do you wish to add with a contains (counter) string validator?
prc	Boolean. Also add percentage of each column compared with length?

Value

data.frame with additional features based on text.

See Also

Other Data Wrangling: balance_data(), categ_reducer(), cleanText(), date_cuts(), date_feats(), file_name(), formatHTML(), holidays(), impute(), left(), normalize(), num_abbr(), ohe_commas(), ohse(), quants(), removenacols(), replaceall(), replacefactor(), textTokenizer(), vector2text(), year_month(), zerovar()

Other Text Mining: cleanText(), ngrams(), remove_stopwords(), replaceall(), sentimentBreakdown(), textCloud(), textTokenizer(), topics_rake()

Examples

textFeats("Bernardo Lares")
textFeats("Bernardo Lares 123!", prc = TRUE)
textFeats("I'm 100% Lares...", contains = c("Lares", "lares"))
textFeats(c("GREAT library!!", "Have you tried this 2?", "Happy faces :D :-)"))

lares documentation built on Nov. 5, 2023, 1:09 a.m.