Patents by Inventor Vikranth Babu Tirumalachetty

Vikranth Babu Tirumalachetty 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 classifying communications that have low lexical content and/or high contextual content into groups using topics
    Patent number: 8868406
    Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for identifying document topics. A system configured to practice the method receives a document from a corpus of documents, learns interpersonal relationships of users associated with the document, performs a lexical analysis of the document, and, based on the interpersonal relationships of the users and the lexical analysis, identifying a topic for the document. The approaches disclosed herein can integrate user-people relationships to identify topics for documents with low lexical or high contextual content. The system can learn this user-people relationship from context. The system uses this learned behavior to identify communication documents correctly. Another aspect is the separation of the two phases.
    Type: Grant
    Filed: December 27, 2010
    Date of Patent: October 21, 2014
    Assignee: Avaya Inc.
    Inventors: Vikranth Babu Tirumalachetty, Krishna Kishore Dhara, Venkatesh Krishnaswamy, Eunsoo Shim, Xiaotao Wu
  • SYSTEM AND METHOD FOR CLASSIFYING COMMUNICATIONS THAT HAVE LOW LEXICAL CONTENT AND/OR HIGH CONTEXTUAL CONTENT INTO GROUPS USING TOPICS
    Publication number: 20120166179
    Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for identifying document topics. A system configured to practice the method receives a document from a corpus of documents, learns interpersonal relationships of users associated with the document, performs a lexical analysis of the document, and, based on the interpersonal relationships of the users and the lexical analysis, identifying a topic for the document. The approaches disclosed herein can integrate user-people relationships to identify topics for documents with low lexical or high contextual content. The system can learn this user-people relationship from context. The system uses this learned behavior to identify communication documents correctly. Another aspect is the separation of the two phases.
    Type: Application
    Filed: December 27, 2010
    Publication date: June 28, 2012
    Applicant: Avaya Inc.
    Inventors: Vikranth Babu Tirumalachetty, Krishna Kishore Dhara, Venkatesh Krishnaswamy, Eunsoo Shim, Xiaotao Wu