如何通过word2vec获取反义词?

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问题描述

我目前正在使用gensim在Python中开发word2vec模型，并希望编写一个函数来帮助我找到给定单词的反义词和同义词.例如:antonym("sad")="happy"synonym("upset")=被激怒"

I am currently working on word2vec model using gensim in Python, and want to write a function that can help me find the antonyms and synonyms of a given word.For example:antonym("sad")="happy"synonym("upset")="enraged"

在word2vec中有办法做到这一点吗?

Is there a way to do that in word2vec?

推荐答案

在word2vec中，您可以通过以下方式找到类比

In word2vec you can find analogies, the following way

model = gensim.models.Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True)

model.most_similar(positive=['good', 'sad'], negative=['bad'])
[(u'wonderful', 0.6414928436279297),
 (u'happy', 0.6154338121414185),
 (u'great', 0.5803680419921875),
 (u'nice', 0.5683973431587219),
 (u'saddening', 0.5588893294334412),
 (u'bittersweet', 0.5544661283493042),
 (u'glad', 0.5512036681175232),
 (u'fantastic', 0.5471092462539673),
 (u'proud', 0.530515193939209),
 (u'saddened', 0.5293528437614441)]

现在使用一些标准的反义词，例如(好，坏)，(有钱，很差)，找到多个最接近的反义词列表.之后，您可以使用此列表的向量的平均值.

Now using some standard antonyms like (good, bad), (rich, poor), find multiple such lists of nearest antonyms. After that you can use average of vectors of this list.

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