Patents by Inventor Anurag Miglani

Anurag Miglani 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).

  • Natural language processing using joint topic-sentiment detection
    Patent number: 11120229
    Abstract: There is a need for solutions for more effective and efficient natural language processing systems. This need can be addressed, for example, by a system configured to obtain a term correlation data object for a plurality of digital documents; determine, based at least in part on the term correlation data object, a term-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-sentiment correlation data object for the plurality of digital documents; generate the topic detection based at least in part on the document-topic correlation object; and generate the sentiment detection based at least in part on the document-sentiment correlation object.
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: September 14, 2021
    Assignee: OPTUM TECHNOLOGY, INC.
    Inventors: Suman Roy, Siddhartha Asthana, Anurag Miglani, Sumit Jindal, Surajit Das, Ashish Chaturvedi
  • NATURAL LANGUAGE PROCESSING USING JOINT TOPIC-SENTIMENT DETECTION
    Publication number: 20210064703
    Abstract: There is a need for solutions for more effective and efficient natural language processing systems. This need can be addressed, for example, by a system configured to obtain a term correlation data object for a plurality of digital documents; determine, based at least in part on the term correlation data object, a term-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-sentiment correlation data object for the plurality of digital documents; generate the topic detection based at least in part on the document-topic correlation object; and generate the sentiment detection based at least in part on the document-sentiment correlation object.
    Type: Application
    Filed: September 4, 2019
    Publication date: March 4, 2021
    Inventors: Suman Roy, Siddhartha Asthana, Anurag Miglani, Sumit Jindal, Surajit Das, Ashish Chaturvedi