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explore different text models #14

@jeremymanning

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@jeremymanning

this notebook has some examples of how to apply different word (or document) embedding models to text data

some examples to potentially explore:

  • LDA fit to the full set of movie scripts vs. wikipedia
  • NMF fit to the full set of movie scripts vs. wikipedia
  • Universal Sentence Encoder
  • word2vec

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