Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.
| Version: | 0.2.1 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.11.5) |
| LinkingTo: | Rcpp, RcppProgress |
| Suggests: | udpipe |
| Published: | 2020-06-12 |
| Author: | Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Max Fomichev [ctb, cph] (Code in src/word2vec) |
| Maintainer: | Jan Wijffels <jwijffels at bnosac.be> |
| License: | Apache License (≥ 2.0) |
| URL: | https://github.com/bnosac/word2vec |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | word2vec results |
| Reference manual: | word2vec.pdf |
| Package source: | word2vec_0.2.1.tar.gz |
| Windows binaries: | r-devel: word2vec_0.2.1.zip, r-release: word2vec_0.2.1.zip, r-oldrel: word2vec_0.2.1.zip |
| macOS binaries: | r-release: word2vec_0.2.1.tgz, r-oldrel: word2vec_0.2.1.tgz |
| Old sources: | word2vec archive |
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