2017-10-03 15:26:20 +03:00
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//- 💫 DOCS > USAGE > WORD VECTORS & SIMILARITIES
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include ../_includes/_mixins
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+section("basics")
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2018-04-29 03:06:46 +03:00
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+aside("Training word vectors")
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| Dense, real valued vectors representing distributional similarity
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| information are now a cornerstone of practical NLP. The most common way
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| to train these vectors is the #[+a("https://en.wikipedia.org/wiki/Word2vec") word2vec]
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| family of algorithms. If you need to train a word2vec model, we recommend
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| the implementation in the Python library
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| #[+a("https://radimrehurek.com/gensim/") Gensim].
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include _spacy-101/_similarity
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include _spacy-101/_word-vectors
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2017-10-03 15:26:20 +03:00
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+section("custom")
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+h(2, "custom") Customising word vectors
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include _vectors-similarity/_custom
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+section("gpu")
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+h(2, "gpu") Storing vectors on a GPU
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include _vectors-similarity/_gpu
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