Patents by Inventor Danni Jin

Danni Jin 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: 11113477
    Abstract: Certain aspects of the present disclosure provide techniques for displaying sentiment of a user text comment. One example method generally includes receiving a text comment comprising a sequence of words, providing a vector sequence representing the sequence of words to a sentiment model configured to output a sequence of sentiment scores for the vector sequence and providing cleaned text to a topic module configured to output relevance scores. The method further includes receiving, from the sentiment model, the sequence of sentiment scores for the vector sequence and receiving, from the topic module, the relevance scores for the cleaned text. The method further includes determining, final sentiment scores for each word of the sequence of words and generating a sentiment visualization for the sequence of words showing the final sentiment scores corresponding to each word of the sequence of words.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: September 7, 2021
    Assignee: INTUIT, INC.
    Inventors: Runhua Zhao, Danni Jin, Chris Wang
  • Publication number: 20200372220
    Abstract: Certain aspects of the present disclosure provide techniques for displaying sentiment of a user text comment. One example method generally includes receiving a text comment comprising a sequence of words, providing a vector sequence representing the sequence of words to a sentiment model configured to output a sequence of sentiment scores for the vector sequence and providing cleaned text to a topic module configured to output relevance scores. The method further includes receiving, from the sentiment model, the sequence of sentiment scores for the vector sequence and receiving, from the topic module, the relevance scores for the cleaned text. The method further includes determining, final sentiment scores for each word of the sequence of words and generating a sentiment visualization for the sequence of words showing the final sentiment scores corresponding to each word of the sequence of words.
    Type: Application
    Filed: July 31, 2020
    Publication date: November 26, 2020
    Inventors: Runhua ZHAO, Danni JIN, Chris WANG
  • Patent number: 10789429
    Abstract: Certain aspects of the present disclosure provide techniques for displaying sentiment of a user text comment. One example method generally includes receiving a text comment comprising a sequence of words, providing a vector sequence representing the sequence of words to a sentiment model configured to output a sequence of sentiment scores for the vector sequence and providing cleaned text to a topic module configured to output relevance scores. The method further includes receiving, from the sentiment model, the sequence of sentiment scores for the vector sequence and receiving, from the topic module, the relevance scores for the cleaned text. The method further includes determining, final sentiment scores for each word of the sequence of words and generating a sentiment visualization for the sequence of words showing the final sentiment scores corresponding to each word of the sequence of words.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: September 29, 2020
    Assignee: INTUIT, INC.
    Inventors: Runhua Zhao, Danni Jin, Chris Wang
  • Publication number: 20200159829
    Abstract: Certain aspects of the present disclosure provide techniques for displaying sentiment of a user text comment. One example method generally includes receiving a text comment comprising a sequence of words, providing a vector sequence representing the sequence of words to a sentiment model configured to output a sequence of sentiment scores for the vector sequence and providing cleaned text to a topic module configured to output relevance scores. The method further includes receiving, from the sentiment model, the sequence of sentiment scores for the vector sequence and receiving, from the topic module, the relevance scores for the cleaned text. The method further includes determining, final sentiment scores for each word of the sequence of words and generating a sentiment visualization for the sequence of words showing the final sentiment scores corresponding to each word of the sequence of words.
    Type: Application
    Filed: November 21, 2018
    Publication date: May 21, 2020
    Inventors: Runhua ZHAO, Danni JIN, Chris WANG
  • Patent number: 9777021
    Abstract: Lubricant additives useful as friction reducing additives are disclosed herein that have a structure according to general formula I, where M is metal such as Ag, Au, Zn or Cu, and R1, R2, and R3, are each a hydrogen, or an alkyl, a substituted alkyl, or an aryl group.
    Type: Grant
    Filed: February 2, 2016
    Date of Patent: October 3, 2017
    Assignee: Qatar Foundation
    Inventors: Massimiliano Delferro, Tobin J. Marks, Q. Jane Wang, Yip-Wah Chung, Hassan S. Bazzi, Afif M. Seyam, Michael Desanker, Blake Johnson, Danni Jin
  • Publication number: 20170217993
    Abstract: Lubricant additives useful as friction reducing additives are disclosed herein that have a structure according to general formula I, where M is metal such as Ag, Au, Zn or Cu, and R1, R2, and R3, are each a hydrogen, or an alkyl, a substituted alkyl, or an aryl group.
    Type: Application
    Filed: February 2, 2016
    Publication date: August 3, 2017
    Inventors: Massimiliano Delferro, Tobin J. Marks, Q. Jane Wang, Yip-Wah Chung, Hassan S. Bazzi, Afif M. Seyam, Michael Desanker, Blake Johnson, Danni Jin