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word2vec #
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See also GloVe, wiki2vec, WordRank, sense2vec. A Continuous embedding method.

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It was recently shown that the word vectors capture many linguistic regularities, for example vector operations vector('Paris') - vector('France') + vector('Italy') results in a vector that is very close to vector('Rome'), and vector('king') - vector('man') + vector('woman') is close to vector('queen') [3, 1].

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Paragaraph vectors #

Comparing multiple sets of vectors #

Optimal dimension #

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Gender bias #

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