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: | 0.1.0 |
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: | 2024-12-11 |
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 |
Reference manual: | wordvector.pdf |
Package source: | wordvector_0.1.0.tar.gz |
Windows binaries: | r-devel: wordvector_0.1.0.zip, r-release: wordvector_0.1.0.zip, r-oldrel: wordvector_0.1.0.zip |
macOS binaries: | r-release (arm64): wordvector_0.1.0.tgz, r-oldrel (arm64): wordvector_0.1.0.tgz, r-release (x86_64): wordvector_0.1.0.tgz, r-oldrel (x86_64): wordvector_0.1.0.tgz |
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