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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: 0.4.0
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

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, wordvector

Linking:

Please use the canonical form https://CRAN.R-project.org/package=word2vec to link to this page.

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.
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