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November 20, 2017 23:50
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Word Embeddings for bigrams using gensim
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| from gensim.models import word2vec | |
| bigram_to_search = "hello_there" | |
| def bigram2vec(unigrams, bigram_to_search): | |
| bigrams = Phrases(unigrams) | |
| model = word2vec.Word2Vec(bigrams[unigrams]) | |
| if bigram_to_search in model.vocab.keys(): | |
| return model[bigram_to_search] | |
| else: | |
| return None |
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