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Multilevel taxonomy based on features derived from training documents classification using fisher values as discrimination values

  • US 20010037324A1
  • Filed: 02/05/2001
  • Published: 11/01/2001
  • Est. Priority Date: 06/24/1997
  • Status: Abandoned Application
First Claim
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1. A process for classifying new documents containing features under nodes defining a multilevel taxonomy, based on features derived from a training set of documents that have been classified under respective nodes of the taxonomy, the process comprising:

  • associating a respective set of features with each one of said plurality of nodes, each given set of features comprising a plurality of features that are in at least one training document classified under the associated node; and

    classifying each new document under at least one node, based on the set of features associated with said at least one node.

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