Word2Vec Models

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Mark the corresponding stages of Word2Vec model processing. Some points relate to both of them.

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Continuous bag-of-wordsSkip-gram
Starts by constructing a vocabulary for a corpus.
Averages vectors of context words to predict a word in the center.
Uses one vector of a central word to predict its context.
Computes similarity by taking the dot product.
Adjusts vectors to bring similar words closer.
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