二元向量 [英] Bigram to a vector

问题描述

我想使用word2vec工具为文档构造单词嵌入.我知道如何找到与单个单词(字母组合)相对应的向量嵌入.现在，我想找到一个二元组的向量.是否可以使用word2vec?如果是，怎么办?

I want to construct word embeddings for documents using word2vec tool. I know how to find a vector embedding corresponding to a single word(unigram). Now, I want to find a vector for a bigram. Is it possible to do using word2vec? If yes, how?

推荐答案

以下代码段将为您提供双字母组的矢量表示.请注意，要转换为向量的二元组需要下划线而不是单词之间的空格，例如bigram2vec(unigrams, "this report")是错误的，它应该是bigram2vec(unigrams, "this_report").有关生成美术字的更多详细信息，请参见gensim.models.word2vec.Word2Vec类此处.

The following snippet will get you the vector representation of a bigram. Note that the bigram you want to convert to a vector needs to have an underscore instead of a space between the words, e.g. bigram2vec(unigrams, "this report") is wrong, it should be bigram2vec(unigrams, "this_report"). For more details on generating the unigrams, please see the gensim.models.word2vec.Word2Vec class here.

from gensim.models import word2vec

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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