gensim. Models word2vec parameter

Preface

Use gensim.models word2vec A little parameter record of

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1、min_count

  word2vec The minimum number of words reserved , When the word frequency in the corpus is less than min_conunt when Word2vec Will automatically delete this word , In the final generated model , Words that do not contain this word are embedded in vectors

2、sg

  0, It is CBOW Model ;1 It is Skip-Gram Model ; The default is 0 namely CBOW Model , among Skip-Gram The model is more suitable for sparse vectors , And dense vector CBOW The model is better .
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