Patents by Inventor Daniel M. Jacobson

Daniel M. Jacobson 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).

  • Machine learning based analysis of electronic communications
    Patent number: 12190214
    Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.
    Type: Grant
    Filed: October 5, 2023
    Date of Patent: January 7, 2025
    Assignee: Bank of America Corporation
    Inventors: Daniel M. Jacobson, Belinda Franklin-Barr, Patrick Lewis
  • MACHINE LEARNING BASED ANALYSIS OF ELECTRONIC COMMUNICATIONS
    Publication number: 20240028969
    Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.
    Type: Application
    Filed: October 5, 2023
    Publication date: January 25, 2024
    Inventors: Daniel M. Jacobson, Belinda Franklin-Barr, Patrick Lewis
  • Machine learning based analysis of electronic communications
    Patent number: 11847537
    Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.
    Type: Grant
    Filed: August 12, 2020
    Date of Patent: December 19, 2023
    Assignee: Bank of America Corporation
    Inventors: Daniel M. Jacobson, Belinda Franklin-Barr, Patrick Lewis
  • MACHINE LEARNING BASED ANALYSIS OF ELECTRONIC COMMUNICATIONS
    Publication number: 20220051127
    Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.
    Type: Application
    Filed: August 12, 2020
    Publication date: February 17, 2022
    Inventors: Daniel M. Jacobson, Belinda Franklin-Barr, Patrick Lewis