| textFeats {lares} | R Documentation |
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 :-)"))