Patents by Inventor Pradeep Chourasiya

Pradeep Chourasiya 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).

  • Patent number: 10552459
    Abstract: A method for classifying a document using identified patterns includes determining frequent patterns based on a group of resources, where the frequent patterns include sets of words associated with resources that are related to a particular topic; determining frequent anti-patterns based on another group of resources, where the frequent anti-patterns include sets of words associated with resources that are not related to the particular topic, where the second group of resources is different from the first group of resources; determining a probability that the document is related to the particular topic based on the frequent patterns and the frequent anti-patterns; and determining a topic classification of the document based on the determined probability.
    Type: Grant
    Filed: October 31, 2013
    Date of Patent: February 4, 2020
    Assignee: Micro Focus LLC
    Inventors: Raghu Anantharangachar, Pradeep Chourasiya
  • Publication number: 20160246870
    Abstract: Classifying a document using identified patterns includes determining frequent patterns related to a topical classification based on identification of a first group of resources; determining frequent anti-patterns that are related to a non-topical classification based on identification of a second group of resources; an classifying the document based on the frequent patterns and the frequent anti-patterns.
    Type: Application
    Filed: October 31, 2013
    Publication date: August 25, 2016
    Inventors: Raghu Anantharangachar, Pradeep Chourasiya
  • Publication number: 20160147863
    Abstract: Systems and methods for classification of documents based on topic to which the documents pertain are described herein. In one implementation, the method comprises computing a probability of a document being topical based on a number of constituent elements that are topical and a total number of constituent elements and computing a probability of the document being anti-topical based on a number of constituent elements that are anti-topical and the total number of constituent elements. The method further comprises determining whether the probability of the document being topical is greater than the probability of the document being anti-topical. Thereafter, the method includes classifying the document as topical on determining the probability of the document being topical to be greater than the probability of the document being anti-topical.
    Type: Application
    Filed: June 24, 2013
    Publication date: May 26, 2016
    Inventors: Raghu Anantharangachar, Pradeep Chourasiya, Viswanathan Kapaleeswaran, Dixit Sudhir