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wordvector: Word and Document Vector Models
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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=wordvector
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.