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並前往https://towardsdatascience.com/word2vec-for-phrases-learning-embeddings-for-more-than-one-word-727b6cf723cf

Word2Vec For Phrases — Learning Embeddings For More Than

In addition, we can perform similarity measures, like cosine-similarity, between the vectors and get that the vector of the word “president” ...

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