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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:0.4.1
Depends:R (≥ 2.10)
Imports:Rcpp (≥ 0.11.5), stats
LinkingTo:Rcpp,RcppProgress
Suggests:udpipe
Published:2025-11-27
DOI:10.32614/CRAN.package.word2vec
Author:Jan Wijffels [aut, cre, cph] (R wrapper), Kohei WatanabeORCID iD [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.html ,word2vec.pdf

Downloads:

Package source: word2vec_0.4.1.tar.gz
Windows binaries: r-devel:word2vec_0.4.1.zip, r-release:word2vec_0.4.1.zip, r-oldrel:word2vec_0.4.1.zip
macOS binaries: r-release (arm64):word2vec_0.4.1.tgz, r-oldrel (arm64):word2vec_0.4.1.tgz, r-release (x86_64):word2vec_0.4.1.tgz, r-oldrel (x86_64):word2vec_0.4.1.tgz
Old sources: word2vec archive

Reverse dependencies:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=word2vecto link to this page.


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