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Determining trends using text mining

  • US 6,532,469 B1
  • Filed: 09/20/1999
  • Issued: 03/11/2003
  • Est. Priority Date: 09/20/1999
  • Status: Expired due to Term
First Claim
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1. A method for visualizing variations in a corpus of information, including a plurality of information entries which are divided into a plurality of sub-groups according to a differentiating parameter of the entries, comprising:

  • for each of the entries, extracting characteristics of information contained therein;

    finding pairs of different characteristics that appear together in at least one of the entries;

    determining an occurrence value for each of the pairs of characteristics in each sub-group in which both of the characteristics appear;

    comparing the occurrence values of at least some of the pairs of characteristics for at least two of the sub-groups; and

    providing an indication of the comparative occurrence values of the pairs;

    wherein the differentiating parameter defines an order, and wherein comparing the occurrence values comprises comparing the occurrence values in a first sub-group with the occurrence values in one or more previous sub-groups in the order.

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