Learn vector representations of sentences, paragraphs or documents by using the 'Paragraph Vector' algorithms, namely the distributed bag of words ('PV-DBOW') and the distributed memory ('PV-DM') model. The techniques in the package are detailed in the paper "Distributed Representations of Sentences and Documents" by Mikolov et al. (2014), available at <arXiv:1405.4053>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.11.5), stats |
| LinkingTo: | Rcpp |
| Suggests: | tokenizers.bpe |
| Published: | 2021-01-21 |
| Author: | Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), hiyijian [ctb, cph] (Code in src/doc2vec) |
| Maintainer: | Jan Wijffels <jwijffels at bnosac.be> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/bnosac/doc2vec |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | doc2vec results |
| Reference manual: | doc2vec.pdf |
| Package source: | doc2vec_0.1.1.tar.gz |
| Windows binaries: | r-devel: doc2vec_0.1.1.zip, r-release: doc2vec_0.1.1.zip, r-oldrel: doc2vec_0.1.1.zip |
| macOS binaries: | r-release: doc2vec_0.1.1.tgz, r-oldrel: doc2vec_0.1.1.tgz |
| Old sources: | doc2vec archive |
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