Get Distinctive Words

Usage

distinctive_words(
  text,
  classification,
  n = Inf,
  stop_words = c(),
  numbers = c("any", "specific", "remove"),
  stem_language = "porter",
  min_total = length(text)/10
)

Arguments

text: a vector of text to assess
classification: a vector of the classification
n: the number of top distinctive words to get
stop_words: a vector or data frame of words to exclude
numbers: what to do with numeric values: "any", "specific", "remove"
stem_language: the language to use for stemming words, from SnowballC::getStemLanguages(), set to FALSE for no stemming
min_total: the minimum total number of incidences to include a word, defaults to 10% of the number of text strings

Value

a data frame of the words