Patents by Inventor Narendra S. Parihar

Narendra S. Parihar 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).

  • Document data classification using a noise-to-content ratio
    Patent number: 10275523
    Abstract: A method and system for classifying document data is described. The method may include classifying a first portion of an electronic document as substantive content or noise, classifying a second portion of the electronic document as substantive content or noise, determining a first feature of the first portion of the electronic document indicative of substantive content using a machine learning algorithm, and determining a second feature of the second portion of the electronic document indicative of noise using the machine learning algorithm.
    Type: Grant
    Filed: August 3, 2017
    Date of Patent: April 30, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Bernhard Wolkerstorfer, Lei Li, Narendra S. Parihar
  • Document data classification using a noise-to-content ratio
    Patent number: 9773182
    Abstract: A method and system for classifying document data is described. An exemplary method includes identifying a markup language document having a plurality of portions, determining a set of substantive content metrics and a set of noise metrics for each of the plurality of portions, calculating a noise-to-content ratio for each of the plurality of portions based on a corresponding set of substantive content metrics and a corresponding set of noise metrics, and removing noise from the markup language document using the noise-to-content ratio.
    Type: Grant
    Filed: September 13, 2012
    Date of Patent: September 26, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Bernhard Wolkerstorfer, Lei Li, Narendra S. Parihar