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System and method for rule based classification of a text fragment

Abstract

US9348901

system rule based

A method for classifying a text fragment by applying one or more rule functions is provided. The method includes (i) obtaining a set of words from one or more sentences of the text fragment obtained from a multimedia content, (ii) mapping each word from the set of words with one or more category map tables to obtain a set of candidate vector, each candidate vector includes at least one category associated with each word, (iii) generating one or more category vectors based on the at least one category, (iv) applying rule functions on the one or more category vectors, (v) generating a candidate classification decision matrix based on the rule functions, and (vi) classifying the text fragment based on the candidate classification decision matrix. The candidate classification matrix includes results of each rule function applied on each of the category vector.

Inventors: Chattopadhayay; Arnab Kumar (Bangalore, IN), Rogatkin; Dmitriy (Palo Alto, CA), Phalke; Vidyadhar (Palo Alto, CA), Lahoti; Rani (Palo Alto, CA)
  • Applicant: MetricStream, Inc. Assignee: MetricStream, Inc. (Palo Alto, CA) Status : GRANT
Date
  • June 20, 2016