gensim word2vec:查找词汇中的单词数 [英] gensim word2vec: Find number of words in vocabulary

问题描述

使用python gensim 训练word2vec模型后，如何找到模型词汇表中的单词?

After training a word2vec model using python gensim, how do you find the number of words in the model's vocabulary?

推荐答案

词汇表在Word2Vec模型的 wv 属性的 vocab 字段中，作为字典，带有密钥是每个令牌(单词).因此，这只是获取字典长度的常用Python:

The vocabulary is in the vocab field of the Word2Vec model's wv property, as a dictionary, with the keys being each token (word). So it's just the usual Python for getting a dictionary's length:

len(w2v_model.wv.vocab)

(在0.13之前的旧gensim版本中， vocab 直接出现在模型上.因此，您可以使用 w2v_model.vocab 代替 w2v_model.wv.vocab .)

(In older gensim versions before 0.13, vocab appeared directly on the model. So you would use w2v_model.vocab instead of w2v_model.wv.vocab.)

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