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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.1 |
rolling linux/jammy R-4.5 | word2vec_0.4.1.tar.gz |
324.2 KiB |
0.4.1 |
rolling linux/noble R-4.5 | word2vec_0.4.1.tar.gz |
335.6 KiB |
0.4.1 |
rolling source/ R- | word2vec_0.4.1.tar.gz |
201.1 KiB |
0.4.1 |
latest linux/jammy R-4.5 | word2vec_0.4.1.tar.gz |
324.2 KiB |
0.4.1 |
latest linux/noble R-4.5 | word2vec_0.4.1.tar.gz |
335.6 KiB |
0.4.1 |
latest source/ R- | word2vec_0.4.1.tar.gz |
201.1 KiB |
0.4.1 |
2026-04-26 source/ R- | word2vec_0.4.1.tar.gz |
201.1 KiB |
0.4.1 |
2026-04-23 source/ R- | word2vec_0.4.1.tar.gz |
201.1 KiB |
0.4.1 |
2026-04-09 windows/windows R-4.5 | word2vec_0.4.1.zip |
643.0 KiB |
0.4.0 |
2025-04-20 source/ R- | word2vec_0.4.0.tar.gz |
200.1 KiB |