What is word embedding?
Word embedding is a model that is trained to embed words in a vector space in such a way that similar words get similar vector representations. The most famous representatives of such models are Word2Vec and Glove.
Word embedding (definition)
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One of the most important NLP methods is defined below: the method of word embedding
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