Patents by Inventor Meenakshi Arvind Lingayat

Meenakshi Arvind Lingayat 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).

  • Entity classification based on machine learning techniques
    Patent number: 11238363
    Abstract: A device may receive information that identifies a requirement. The device may receive information associated with a set of positive entities and a set of negative entities. The device may identify a set of priority terms based on the information associated with the set of positive entities and the set of negative entities. The device may identify a first set of ancillary terms and a second set of ancillary terms based on the information that identifies the set of priority terms. The device may generate a model based on the set of priority terms, the first set of ancillary terms, and the second set of ancillary terms. The device may determine a set of classification scores, for a set of unclassified entities, based on information associated with the set of unclassified entities and the model. The device may provide information that identifies the set of classification scores to cause an action to be performed in association with the set of unclassified entities.
    Type: Grant
    Filed: April 27, 2017
    Date of Patent: February 1, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Rajeev Sinha, Meenakshi Arvind Lingayat
  • ENTITY CLASSIFICATION BASED ON MACHINE LEARNING TECHNIQUES
    Publication number: 20180314973
    Abstract: A device may receive information that identifies a requirement. The device may receive information associated with a set of positive entities and a set of negative entities. The device may identify a set of priority terms based on the information associated with the set of positive entities and the set of negative entities. The device may identify a first set of ancillary terms and a second set of ancillary terms based on the information that identifies the set of priority terms. The device may generate a model based on the set of priority terms, the first set of ancillary terms, and the second set of ancillary terms. The device may determine a set of classification scores, for a set of unclassified entities, based on information associated with the set of unclassified entities and the model. The device may provide information that identifies the set of classification scores to cause an action to be performed in association with the set of unclassified entities.
    Type: Application
    Filed: April 27, 2017
    Publication date: November 1, 2018
    Inventors: Rajeev SINHA, Meenakshi Arvind Lingayat