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Document classification with weighted supervised n-gram embedding

  • US 8,892,488 B2
  • Filed: 05/30/2012
  • Issued: 11/18/2014
  • Est. Priority Date: 06/01/2011
  • Status: Active Grant
First Claim
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1. A method for document classification, comprising:

  • embedding n-grams from an input text in a latent space;

    embedding the input text in the latent space based on the embedded n-grams and weighting the n-grams according to a non-linear function

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