Patents by Inventor Deepam Kedia

Deepam Kedia 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).

  • Identifying suggestive intent in social posts
    Patent number: 9299028
    Abstract: This document describes techniques for identifying suggestive intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more suggestive intent posts expressing suggestions towards the topic are identified from the collected social posts. In one or more implementations, a set of related topics are received and social posts to one or more social networks that correspond to the related topics are collected. Then, aspects corresponding to the related topics are identified, and a sentiment score is generated for each aspect of each related topic that can be used to compare aspects of the related topics. In one or more implementations a suggestive intent model, usable to identify social posts expressing suggestive intent, is built from a training corpus of annotated social posts.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: March 29, 2016
    Assignee: Adobe Systems Incorporated
    Inventors: Vineet Gupta, Devesh Varshney, Harsh Jhamtani, Deepam Kedia, Shweta M. Karwa
  • IDENTIFYING SUGGESTIVE INTENT IN SOCIAL POSTS
    Publication number: 20150127591
    Abstract: This document describes techniques for identifying suggestive intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more suggestive intent posts expressing suggestions towards the topic are identified from the collected social posts. In one or more implementations, a set of related topics are received and social posts to one or more social networks that correspond to the related topics are collected. Then, aspects corresponding to the related topics are identified, and a sentiment score is generated for each aspect of each related topic that can be used to compare aspects of the related topics. In one or more implementations a suggestive intent model, usable to identify social posts expressing suggestive intent, is built from a training corpus of annotated social posts.
    Type: Application
    Filed: November 4, 2013
    Publication date: May 7, 2015
    Inventors: Vineet Gupta, Devesh Varshney, Harsh Jhamtani, Deepam Kedia, Shweta M. Karwa
  • Identifying Purchase Intent in Social Posts
    Publication number: 20150106304
    Abstract: This document describes techniques for identifying purchase intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more purchase intent posts expressing purchase intent towards the topic are identified from the collected social posts. In one or more implementations a purchase intent model, usable to identify social posts expressing purchase intent, is built from a training corpus of annotated social posts.
    Type: Application
    Filed: October 15, 2013
    Publication date: April 16, 2015
    Applicant: Adobe Systems Incorporated
    Inventors: Vineet Gupta, Harsh Jhamtani, Devesh Varshney, Deepam Kedia, Shweta M. Karwa