dtmwrappers: Wrappers to DocumentTermMatrix and DocumentTermMatrix to use...

In ngramrr: A Simple General Purpose N-Gram Tokenizer

Description

Wrappers to DocumentTermMatrix and DocumentTermMatrix to use n-gram tokenization provided by ngramrr.

Usage

dtm2(x, char = FALSE, ngmin = 1, ngmax = 2, rmEOL = TRUE, ...)

tdm2(x, char = FALSE, ngmin = 1, ngmax = 2, rmEOL = TRUE, ...)

Arguments

x	character vector, Source or Corpus to be converted
char	logical, using character n-gram. char = FALSE denotes word n-gram.
ngmin	integer, minimun order of n-gram
ngmax	integer, maximun order of n-gram
rmEOL	logical, remove ngrams wih EOL character
...	Additional options for DocumentTermMatrix or DocumentTermMatrix

Value

DocumentTermMatrix or DocumentTermMatrix

See Also

ngramrr, DocumentTermMatrix, TermDocumentMatrix

Examples

nirvana <- c("hello hello hello how low", "hello hello hello how low",
"hello hello hello how low", "hello hello hello",
"with the lights out", "it's less dangerous", "here we are now", "entertain us",
"i feel stupid", "and contagious", "here we are now", "entertain us",
"a mulatto", "an albino", "a mosquito", "my libido", "yeah", "hey yay")
dtm2(nirvana, ngmax = 3, removePunctuation = TRUE)

Example output

<<DocumentTermMatrix (documents: 18, terms: 25)>>
Non-/sparse entries: 36/414
Sparsity           : 92%
Maximal term length: 10
Weighting          : term frequency (tf)

ngramrr documentation built on May 2, 2019, 11:28 a.m.