Patents by Inventor Noah Syken

Noah Syken 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).

  • Predictive neural network with sentiment data
    Patent number: 11238339
    Abstract: A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a corpus of sources. The description may be based in part on the relationship of the token to at least a portion of the remainder of the corpus. A set of sentiment scores may be obtained. The sentiment scores in the set of sentiment scores may describe a sentiment associated with a corresponding token that is described by a vector from the set of vectors. The set of vectors and the set of sentiment scores may be input into a pattern-recognizer pathway in a first neural network. A probability value of a potential future event may then be generated by the first neural network. The probability value may be based on the set of vectors and the set of sentiment scores.
    Type: Grant
    Filed: August 2, 2017
    Date of Patent: February 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: Jeff Powell, Aaron K. Baughman, John J. Kent, John C. Newell, David Provan, Noah Syken
  • PREDICTIVE NEURAL NETWORK WITH SENTIMENT DATA
    Publication number: 20190042933
    Abstract: A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a corpus of sources. The description may be based in part on the relationship of the token to at least a portion of the remainder of the corpus. A set of sentiment scores may be obtained. The sentiment scores in the set of sentiment scores may describe a sentiment associated with a corresponding token that is described by a vector from the set of vectors. The set of vectors and the set of sentiment scores may be input into a pattern-recognizer pathway in a first neural network. A probability value of a potential future event may then be generated by the first neural network. The probability value may be based on the set of vectors and the set of sentiment scores.
    Type: Application
    Filed: August 2, 2017
    Publication date: February 7, 2019
    Inventors: Jeff Powell, Aaron K. Baughman, John J. Kent, John C. Newell, David Provan, Noah Syken