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Establishing “is a” relationships for a taxonomy

  • US 9,087,044 B2
  • Filed: 09/28/2012
  • Issued: 07/21/2015
  • Est. Priority Date: 08/30/2012
  • Status: Expired due to Fees
First Claim
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1. A method for identifying generic terms, the method comprising:

  • evaluating, by a computer system, word usage in an article for a string in reference corpus articles of a reference corpus by generating for the string a corpus vector having a list of co-occurring corpus words that occur in the reference corpus articles that also include the string and calculating a corpus ratio for each co-occurring corpus word as a number of times the each co-occurring corpus word occurs in the reference corpus articles containing the string divided by a number of times the co-occurring corpus word occurs in the reference corpus articles, the corpus vector including the list of co-occurring corpus words and the corpus ratio for the each co-occurring corpus words;

    evaluating, by the computer system, word usage in current social media documents containing the string by generating for the string a social media vector having a list of co-occurring social media words that occur in social media documents that also include the string and calculating a social media ratio for each co-occurring social media word as a number of times the each co-occurring social media word occurs in the current social media documents containing the string divided by a number of times the co-occurring social media word occurs in the current social media documents, the social media vector including the list of co-occurring social media words and the social media ratio for the each co-occurring social media words;

    causing, by the computer system, a generic score for the string to indicate greater generic-ness for a greater difference between the corpus vector and the social media vector; and

    storing, by the computer system, the generic score for the string.

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