wordvector: Word and Document Vector Models

Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.

Version: 0.6.1
Depends: R (≥ 3.5.0)
Imports: quanteda (≥ 4.1.0), methods, stringi, Matrix, proxyC, RSpectra, irlba, rsvd
LinkingTo: Rcpp, quanteda
Suggests: testthat, word2vec, spelling
Published: 2026-02-25
DOI: 10.32614/CRAN.package.wordvector
Author: Kohei Watanabe ORCID iD [aut, cre, cph], Jan Wijffels [aut] (Original R code), BNOSAC [cph] (Original R code), Max Fomichev [ctb, cph] (Original C++ code)
Maintainer: Kohei Watanabe <watanabe.kohei at gmail.com>
License: Apache License (≥ 2.0)
URL: https://github.com/koheiw/wordvector
NeedsCompilation: yes
Language: en-US
Materials: NEWS
CRAN checks: wordvector results

Documentation:

Reference manual: wordvector.html , wordvector.pdf

Downloads:

Package source: wordvector_0.6.1.tar.gz
Windows binaries: r-devel: wordvector_0.6.0.zip, r-release: wordvector_0.6.0.zip, r-oldrel: wordvector_0.6.0.zip
macOS binaries: r-release (arm64): wordvector_0.6.1.tgz, r-oldrel (arm64): wordvector_0.6.1.tgz, r-release (x86_64): wordvector_0.6.1.tgz, r-oldrel (x86_64): wordvector_0.6.0.tgz
Old sources: wordvector archive

Reverse dependencies:

Reverse suggests: LSX

Linking:

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