Patents by Inventor Yaron Winter

Yaron Winter 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: 10616414
    Abstract: A system and method for distinguishing the sentiment of utterances in a dialog is disclosed. The system utilizes a lexicon that is expanded from a seed using unsupervised machine learning. What results is a sentiment classifier that may be optimized for a variety of environments (e.g., conversation, chat, email, etc.), each of which may communicate sentiment differently.
    Type: Grant
    Filed: August 22, 2019
    Date of Patent: April 7, 2020
    Assignee: VERINT SYSTEMS LTD.
    Inventors: Yaron Winter, Saar Carmi
  • Publication number: 20190379791
    Abstract: A system and method for distinguishing the sentiment of utterances in a dialog is disclosed. The system utilizes a lexicon that is expanded from a seed using unsupervised machine learning. What results is a sentiment classifier that may be optimized for a variety of environments (e.g., conversation, chat, email, etc.), each of which may communicate sentiment differently.
    Type: Application
    Filed: August 22, 2019
    Publication date: December 12, 2019
    Inventors: Yaron Winter, Saar Carmi
  • Patent number: 10432789
    Abstract: A system and method for distinguishing the sentiment of utterances in a dialog is disclosed. The system utilizes a lexicon that is expanded from a seed using unsupervised machine learning. What results is a sentiment classifier that may be optimized for a variety of environments (e.g., conversation, chat, email, etc.), each of which may communicate sentiment differently.
    Type: Grant
    Filed: February 9, 2017
    Date of Patent: October 1, 2019
    Assignee: VERINT SYSTEMS LTD.
    Inventors: Yaron Winter, Saar Carmi
  • Publication number: 20180226071
    Abstract: A system and method for distinguishing the sentiment of utterances in a dialog is disclosed. The system utilizes a lexicon that is expanded from a seed using unsupervised machine learning. What results is a sentiment classifier that may be optimized for a variety of environments (e.g., conversation, chat, email, etc.), each of which may communicate sentiment differently.
    Type: Application
    Filed: February 9, 2017
    Publication date: August 9, 2018
    Inventors: Yaron Winter, Saar Carmi