The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ngramrr

A fast ngram tokenizer for R so that we don’t need to install RWeka just for NGramTokenizer().

usage

require(ngramrr)
require(tm)
require(magrittr)

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")

ngramrr(nirvana[1], ngmax = 3)

Corpus(VectorSource(nirvana)) %>%
TermDocumentMatrix(control = list(tokenize = function(x) ngramrr(x, ngmax =3))) %>%
inspect

# Character ngram

Corpus(VectorSource(nirvana)) %>%
TermDocumentMatrix(control = list(tokenize = function(x) ngramrr(x, char = TRUE, ngmax =3))) %>%
inspect

# dtm2 and tdm2 wrappers

dtm2(nirvana, ngmax = 3, removePunctuation = TRUE)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.