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 ORCID 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


Reference manual: word2vec.pdf


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


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