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:
word2vec_0.4.1.tar.gz
word2vec_0.4.1.zip(r-4.5)word2vec_0.4.1.zip(r-4.4)word2vec_0.4.1.zip(r-4.3)
word2vec_0.4.1.tgz(r-4.4-x86_64)word2vec_0.4.1.tgz(r-4.4-arm64)word2vec_0.4.1.tgz(r-4.3-x86_64)word2vec_0.4.1.tgz(r-4.3-arm64)
word2vec_0.4.1.tar.gz(r-4.5-noble)word2vec_0.4.1.tar.gz(r-4.4-noble)
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word2vec.pdf |word2vec.html✨
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
embeddingsnatural-language-processingword2vec
Last updated 9 months agofrom:96b0e04c74. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win-x86_64 | OK | Nov 15 2024 |
| R-4.5-linux-x86_64 | OK | Nov 15 2024 |
| R-4.4-win-x86_64 | OK | Nov 15 2024 |
| R-4.4-mac-x86_64 | OK | Nov 15 2024 |
| R-4.4-mac-aarch64 | OK | Nov 15 2024 |
| R-4.3-win-x86_64 | OK | Nov 15 2024 |
| R-4.3-mac-x86_64 | OK | Nov 15 2024 |
| R-4.3-mac-aarch64 | OK | Nov 15 2024 |
Exports:doc2vecread.word2vecread.wordvectorstxt_clean_word2vecword2vecword2vec_similaritywrite.word2vec
Dependencies:RcppRcppProgress
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get the word vectors of a word2vec model | as.matrix.word2vec |
| Get document vectors based on a word2vec model | doc2vec |
| Predict functionalities for a word2vec model | predict.word2vec |
| Read a binary word2vec model from disk | read.word2vec |
| Read word vectors from a word2vec model from disk | read.wordvectors |
| Text cleaning specific for input to word2vec | txt_clean_word2vec |
| Train a word2vec model on text | word2vec |
| Similarity between word vectors as used in word2vec | word2vec_similarity |
| Train a word2vec model on text | word2vec.character |
| Train a word2vec model on text | word2vec.list |
| Save a word2vec model to disk | write.word2vec |
