Patents by Inventor VINAY GURURAJA RAO

VINAY GURURAJA RAO 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).

  • Publication number: 20160189057
    Abstract: A self learning system and a method for categorizing input data have been disclosed. The system includes a generator that generates an initial training set comprising a plurality of words linked to scores/ratings which are based on the sentiments conveyed by the words. The words and corresponding ratings and sentiments are inter-linked and stored in a repository. A rule based classifier segregates the input data into individual words, and compares the words with the entries in the repository, and subsequently determines a first score corresponding to the input data. The input data is also provided to a machine-learning based classifier that generates a plurality of features corresponding to the input data and subsequently generates a second score corresponding to the input data. The first score and the second score are further aggregated by an ensemble classifier which further generates a classification score which enables the data to be classified into a plurality of predetermined categories.
    Type: Application
    Filed: October 6, 2015
    Publication date: June 30, 2016
    Inventors: VINAY GURURAJA RAO, SRIDHAR GOPALAKRISHNAN, SAURABH SANTHOSH, POOVIAH BALLACHANDA AYAPPA
  • Publication number: 20150199609
    Abstract: A self learning system and a method for analyzing the sentiments conveyed by an input text have been disclosed. The system includes a generator that generates an initial training set comprising a plurality of words linked to corresponding sentiments. The words and corresponding sentiments are stored in a repository. A rule based classifier segregates the input text into individual words, and compares the words with the entries in the repository, and subsequently determines a first score corresponding to the input text. The input text is also provided to a machine-learning based classifier that generates a plurality of features corresponding to the input text and subsequently generates a second score corresponding to the input text. The first score and the second score are further aggregated by an ensemble classifier which further generates a classification score indicative of the sentiment conveyed by the input text.
    Type: Application
    Filed: December 17, 2014
    Publication date: July 16, 2015
    Inventors: VINAY GURURAJA RAO, ANKIT PATIL, SAURABH SANTHOSH,, POOVIAH BALLACHANDA AYAPPA