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 <doi:10.48550/arXiv.1310.4546>.

Version:	0.4.0
Depends:	R (≥ 2.10)
Imports:	Rcpp (≥ 0.11.5), stats
LinkingTo:	Rcpp, RcppProgress
Suggests:	udpipe
Published:	2023-10-07
DOI:	10.32614/CRAN.package.word2vec
Author:	Jan Wijffels [aut, cre, cph] (R wrapper), Kohei Watanabe [aut], 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
In views:	NaturalLanguageProcessing
CRAN checks:	word2vec results

Documentation:

Reference manual:

word2vec.pdf

Downloads:

Package source:	word2vec_0.4.0.tar.gz
Windows binaries:	r-devel: word2vec_0.4.0.zip, r-release: word2vec_0.4.0.zip, r-oldrel: word2vec_0.4.0.zip
macOS binaries:	r-release (arm64): word2vec_0.4.0.tgz, r-oldrel (arm64): word2vec_0.4.0.tgz, r-release (x86_64): word2vec_0.4.0.tgz, r-oldrel (x86_64): word2vec_0.4.0.tgz
Old sources:	word2vec archive

Reverse dependencies:

Reverse imports:	conversim, GenProSeq, node2vec, PsychWordVec, wordsalad
Reverse suggests:	doc2vec, sentencepiece, topicmodels.etm

Linking:

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