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 [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_0.6.1.zip, r-release: wordvector_0.6.1.zip, r-oldrel: wordvector_0.6.1.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_0.6.1.tgz
Old sources:	wordvector archive

Reverse dependencies:

Reverse suggests:

LSX

Linking:

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