lares (version 4.8.4)

textFeats: 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?

See Also

Other Data Wrangling: balance_data(), categ_reducer(), cleanText(), date_cuts(), date_feats(), dateformat(), formatNum(), formatTime(), holidays(), impute(), left(), normalize(), numericalonly(), ohe_commas(), ohse(), rbind_full(), removenacols(), removenarows(), replaceall(), right(), textTokenizer(), vector2text(), year_month(), year_week()

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

Examples

# NOT RUN {
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 :-)"))
# }