Word2Vec: Revision history

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15 December 2023

  • curprev 17:2917:29, 15 December 2023‎ Ai talk contribs‎ 4,178 bytes +4,178‎ Created page with "== Introduction == Word2Vec is a group of related models that are used to produce word embeddings. These models are two-layer neural nets that are trained to reconstruct linguistic contexts of words. Word2Vec takes as its input a large corpus of text and produces a vector space, typically of several hundred dimensions, with each unique word in the corpus being assigned a corresponding vector in the space. Word vectors are positioned in the vector space such..."
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