System and method for electronic communication management
First Claim
1. A computerized text classifier system, comprising:
- a pre-processor configured to analyze a text to identify concepts and generate a concept model containing the identified concepts;
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; and
a statistical engine configured to calculate 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 and being representative of a relevance of the text to the associated category.
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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 structed text object that contains the concepts. 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. A computerized text classifier system, comprising:
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a pre-processor configured to analyze a text to identify concepts and generate a concept model containing the identified concepts;
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; and
a statistical engine configured to calculate 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 and being representative of a relevance of the text to the associated category. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of classifying text on a computer, comprising steps of:
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analyzing a text to identify concepts 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; and
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 and being representative of a relevance of the text to the associated category. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A system for classifying text on a computer, comprising:
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means for analyzing a text to identify concepts and building a concept model containing the concepts;
means for 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; and
means for 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 and being representative of a relevance of the text to the associated category.
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Specification