Word and Document Vector Models R package wordvector version 0.6.3 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>. Software Depends: R (>= 3.5.0) Imports: quanteda (>= 4.1.0), methods, stringi, Matrix, proxyC, RSpectra, irlba, rsvd LinkingTo: Rcpp, quanteda Suggests: testthat, word2vec, spelling, rmarkdown, knitr Kohei Watanabe <watanabe.kohei@gmail.com> Comprehensive R Archive Network (CRAN) Kohei Watanabe [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-6519-5265>), Jan Wijffels [aut] (Original R code), BNOSAC [cph] (Original R code), Max Fomichev [ctb, cph] (Original C++ code) Apache License (>= 2.0) 2026-07-28 application/tgz https://CRAN.R-project.org/package=wordvector doi:10.32614/CRAN.package.wordvector en-US