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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>.

copied from cf-post-staging / r-word2vec
Type Size Name Uploaded Downloads Labels
conda 314.0 kB | win-64/r-word2vec-0.4.1-r45hd8a2815_0.conda  2 months and 25 days ago 42 main
conda 314.2 kB | osx-64/r-word2vec-0.4.1-r45ha730edb_0.conda  2 months and 25 days ago 47 main
conda 314.5 kB | osx-64/r-word2vec-0.4.1-r44ha730edb_0.conda  2 months and 25 days ago 41 main
conda 314.0 kB | win-64/r-word2vec-0.4.1-r44hd8a2815_0.conda  2 months and 25 days ago 41 main
conda 334.6 kB | linux-64/r-word2vec-0.4.1-r44h3697838_0.conda  2 months and 25 days ago 226 main
conda 333.3 kB | linux-64/r-word2vec-0.4.1-r45h3697838_0.conda  2 months and 25 days ago 215 main

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