SYSTEM AND METHOD FOR CLASSIFYING TEXT
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Abstract
A system and method for classifying text includes a pre-processor, a knowledge base, and a statistical engine. The pre-processor identifies concepts in the text and creates a structured text object that contains the concepts. The structured text object is then passed to a statistical engine, which applies statistical information provided in nodes of a knowledge base to the structured text object in order to calculate a set of match scores, each match score representing the relevance of the text to an associated one of a plurality of predefined categories. The pre-processor may be implemented in the form of an interpreter which selects and executes a script that includes language- and scenario-specific instructions for performing linguistic and semantic analysis of the text.
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Citations
25 Claims
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1-12. -12. (canceled)
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13. A method of classifying text on a computer for electronic communication management, comprising steps of:
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analyzing text from an electronic communication to identify concepts therein and building a concept model containing the concepts;
providing a knowledge base having a plurality of nodes including a set of learning nodes, each of the learning nodes being provided with statistical information corresponding to a category;
calculating a set of match scores for the concept model by using the knowledge base, each match score of the set of match scores having an associated category with a suggested action to be performed in response to the electronic communication and being representative of a relevance of the text to the associated category; and
performing the suggested action in response to the electronic communication. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. (canceled)
Specification