Training Word2vec using gensim
Word2vec is a method to create word embeddings efficiently and has been around since 2013. Word2vec is a two-layer neural net that processes text by “vectorizing” words. Its input is a text corpus and its output is a set of vectors: feature vectors that represent words in that corpus.
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