word2vec: Distributed Representations of Words

Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.

Version: 0.3.2
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.5), stats
LinkingTo: Rcpp, RcppProgress
Suggests: udpipe
Published: 2020-10-10
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Max Fomichev [ctb, cph] (Code in src/word2vec)
Maintainer: Jan Wijffels <jwijffels at bnosac.be>
License: Apache License (≥ 2.0)
URL: https://github.com/bnosac/word2vec
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: word2vec results


Reference manual: word2vec.pdf
Package source: word2vec_0.3.2.tar.gz
Windows binaries: r-devel: word2vec_0.3.2.zip, r-release: word2vec_0.3.2.zip, r-oldrel: word2vec_0.3.2.zip
macOS binaries: r-release: word2vec_0.3.2.tgz, r-oldrel: word2vec_0.3.2.tgz
Old sources: word2vec archive

Reverse dependencies:

Reverse imports: wordsalad


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