Patents by Inventor SUSHMITA L. ALLAM

SUSHMITA L. ALLAM 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).

  • Semantic-free text analysis for identifying traits
    Patent number: 9508360
    Abstract: A method, system, and/or computer program product uses speech traits of an entity to predict a future state of the entity. Units of speech are collected from a stream of speech that is generated by a first entity. Tokens from the stream of speech are identified, where each token identifies a particular unit of speech from the stream of speech, and where identification of the tokens is semantic-free. Nodes in a first speech graph are populated with the tokens, and a first shape of the first speech graph is identified. The first shape is matched to a second shape, where the second shape is of a second speech graph from a second entity in a known category. The first entity is assigned to the known category, and a future state of the first entity is predicted based on the first entity being assigned to the known category.
    Type: Grant
    Filed: May 28, 2014
    Date of Patent: November 29, 2016
    Assignee: International Business Machines Corporation
    Inventors: Sushmita L. Allam, Guillermo A. Cecchi, Srinivas Gundugola, James R. Kozloski, Clifford A. Pickover, Irina Rish
  • SEMANTIC-FREE TEXT ANALYSIS FOR IDENTIFYING TRAITS
    Publication number: 20150348569
    Abstract: A method, system, and/or computer program product uses speech traits of an entity to predict a future state of the entity. Units of speech are collected from a stream of speech that is generated by a first entity. Tokens from the stream of speech are identified, where each token identifies a particular unit of speech from the stream of speech, and where identification of the tokens is semantic-free. Nodes in a first speech graph are populated with the tokens, and a first shape of the first speech graph is identified. The first shape is matched to a second shape, where the second shape is of a second speech graph from a second entity in a known category. The first entity is assigned to the known category, and a future state of the first entity is predicted based on the first entity being assigned to the known category.
    Type: Application
    Filed: May 28, 2014
    Publication date: December 3, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: SUSHMITA L. ALLAM, GUILLERMO A. CECCHI, SRINIVAS GUNDUGOLA, JAMES R. KOZLOSKI, CLIFFORD A. PICKOVER, IRINA RISH