"Word2vec placed words inside a mathematical space based on the contexts in which they appeared in real sentences."
Mikolov and colleagues developed efficient methods for learning word vectors from large collections of text. These representations place words with related contextual and semantic properties in related regions of a mathematical space, making statistical language relationships available for computation.
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