Patents by Inventor Rani Lahoti

Rani Lahoti has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for rule based classification of a text fragment
    Patent number: 9348901
    Abstract: 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.
    Type: Grant
    Filed: January 27, 2014
    Date of Patent: May 24, 2016
    Assignee: MetricStream, Inc.
    Inventors: Arnab Kumar Chattopadhayay, Dmitriy Rogatkin, Vidyadhar Phalke, Rani Lahoti
  • SYSTEM AND METHOD FOR RULE BASED CLASSIFICATION OF A TEXT FRAGMENT
    Publication number: 20150212976
    Abstract: 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.
    Type: Application
    Filed: January 27, 2014
    Publication date: July 30, 2015
    Inventors: Arnab Kumar Chattopadhayay, Dmitriy Rogatkin, Vidyadhar Phalke, Rani Lahoti