Package: word2vec 0.4.1

Jan Wijffels

word2vec: Distributed Representations of Words

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 <doi:10.48550/arXiv.1310.4546>.

Authors:Jan Wijffels [aut, cre, cph], Kohei Watanabe [aut], BNOSAC [cph], Max Fomichev [ctb, cph]

word2vec_0.4.1.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
word2vec/json (API)
NEWS

# Install 'word2vec' in R:
install.packages('word2vec', repos = c('https://bnosac.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bnosac/word2vec/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

embeddingsnatural-language-processingword2veccpp

8.54 score 73 stars 7 packages 311 scripts 1.5k downloads 413 mentions 7 exports 2 dependencies

Last updated from:0b7ee12d42. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK148
linux-devel-x86_64OK145
source / vignettesOK163
linux-release-arm64OK161
linux-release-x86_64OK140
macos-release-arm64OK145
macos-release-x86_64OK230
macos-oldrel-arm64OK124
macos-oldrel-x86_64OK283
windows-develOK157
windows-releaseOK180
windows-oldrelOK198
wasm-releaseOK109

Exports:doc2vecread.word2vecread.wordvectorstxt_clean_word2vecword2vecword2vec_similaritywrite.word2vec

Dependencies:RcppRcppProgress