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 | 
| 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.html , wordvector.pdf | 
| Package source: | wordvector_0.5.1.tar.gz | 
| Windows binaries: | r-devel: wordvector_0.5.1.zip, r-release: wordvector_0.5.1.zip, r-oldrel: wordvector_0.5.1.zip | 
| macOS binaries: | r-release (arm64): wordvector_0.5.1.tgz, r-oldrel (arm64): wordvector_0.5.1.tgz, r-release (x86_64): wordvector_0.5.1.tgz, r-oldrel (x86_64): wordvector_0.5.1.tgz | 
| Old sources: | wordvector archive | 
| Reverse suggests: | LSX | 
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