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 <arxiv:1310.4546>.

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

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NEWS

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

Peer review:

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

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

On CRAN:

embeddingsnatural-language-processingword2vec

7 exports 69 stars 6.72 score 2 dependencies 4 dependents 413 mentions 181 scripts 909 downloads

Last updated 7 months agofrom:96b0e04c74. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-win-x86_64OKSep 16 2024
R-4.5-linux-x86_64OKSep 16 2024
R-4.4-win-x86_64OKSep 16 2024
R-4.4-mac-x86_64OKSep 16 2024
R-4.4-mac-aarch64OKSep 16 2024
R-4.3-win-x86_64OKSep 16 2024
R-4.3-mac-x86_64OKSep 16 2024
R-4.3-mac-aarch64OKSep 16 2024

Exports:doc2vecread.word2vecread.wordvectorstxt_clean_word2vecword2vecword2vec_similaritywrite.word2vec

Dependencies:RcppRcppProgress