Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> 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: 0.5.1 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: 2025-06-20 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=wordvector to link to this page.
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