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gensim is the python library for topic modelling. multi-dimensional vector representation of words or sentences which preserves semantic meaning is computed through word2vec and doc2vec models.

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Word2Vec how to choose the embedding size parameter

There's some discussion here about the vocabulary size: https://stackoverflow.com/questions/45444964/python-what-is-the-size-parameter-in-gensim-word2vec-model-class However, I suspect that vocabulary … I'm using Gensim, if it matters. I'm using a size of 240. Is this reasonable? Are there any studies on what heuristics to use to choose the size parameter? Thanks. …
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