spaCy/website/usage/_vectors-similarity/_basics.jade

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2017-10-03 15:26:20 +03:00
//- 💫 DOCS > USAGE > VECTORS & SIMILARITY > BASICS
+aside("Training word vectors")
| Dense, real valued vectors representing distributional similarity
| information are now a cornerstone of practical NLP. The most common way
| to train these vectors is the #[+a("https://en.wikipedia.org/wiki/Word2vec") word2vec]
| family of algorithms. The default
| #[+a("/models/en") English model] installs
| 300-dimensional vectors trained on the
| #[+a("http://commoncrawl.org") Common Crawl] corpus.
| If you need to train a word2vec model, we recommend the implementation in
| the Python library #[+a("https://radimrehurek.com/gensim/") Gensim].
include ../_spacy-101/_similarity
include ../_spacy-101/_word-vectors