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word2vec

word2vec: negative sampling (in layman term)?

The idea of word2vec is to maximise the similarity (dot product) between the vectors for words which appear close together (in the context of each other) in text, and minimise the similarity of words that do not. In equation (3) of the paper you link to, ignore the exponentiation for a moment. You have The numerator is … Read more

Categories machine learning Tags machine-learning, nlp, word2vec

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