Patents by Inventor Benjamin Olander

Benjamin Olander 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).

  • PROCESSING AND VISUALIZATION OF TEXTUAL DATA BASED ON SYNTACTIC DEPENDENCY TREES AND SENTIMENT SCORING
    Publication number: 20230401381
    Abstract: Described herein are improved systems and methods for overcoming technical problems associated with processing and visualization of textual data and natural language processing. In some examples, a method is provided for determining sentiment associated with big data analysis of database information. In some examples, textual news data (e.g., NEWS API, RSS, etc.) is received via a communications network from a plurality of data platforms. The textual news data is parsed, and syntactic dependency trees are generated therefrom. A sentiment score is derived for the parsed textual data corresponding to a word or phrase associated with the textual data, and an image is generated reflecting scored sentiment for the parsed textual data.
    Type: Application
    Filed: August 25, 2023
    Publication date: December 14, 2023
    Inventors: Benjamin Olander, Jedediah Carty, Matthew Van Dusen, Philip Stockton
  • Processing and visualization of textual data based on syntactic dependency trees and sentiment scoring
    Patent number: 11775755
    Abstract: Described herein are improved systems and methods for overcoming technical problems associated with processing and visualization of textual data and natural language processing. In some examples, a method is provided for determining sentiment associated with big data analysis of database information. In some examples, textual news data (e.g., NEWS API, RSS, etc.) is received via a communications network from a plurality of data platforms. The textual news data is parsed, and syntactic dependency trees are generated therefrom. A sentiment score is derived for the parsed textual data corresponding to a word or phrase associated with the textual data, and an image is generated reflecting scored sentiment for the parsed textual data.
    Type: Grant
    Filed: March 2, 2023
    Date of Patent: October 3, 2023
    Assignee: TLDR LLC
    Inventors: Benjamin Olander, Jedediah Carty, Matthew Van Dusen, Philip Stockton
  • PROCESSING AND VISUALIZATION OF TEXTUAL DATA BASED ON SYNTACTIC DEPENDENCY TREES AND SENTIMENT SCORING
    Publication number: 20230281384
    Abstract: Described herein are improved systems and methods for overcoming technical problems associated with processing and visualization of textual data and natural language processing. In some examples, a method is provided for determining sentiment associated with big data analysis of database information. In some examples, textual news data (e.g., NEWS API, RSS, etc.) is received via a communications network from a plurality of data platforms. The textual news data is parsed, and syntactic dependency trees are generated therefrom. A sentiment score is derived for the parsed textual data corresponding to a word or phrase associated with the textual data, and an image is generated reflecting scored sentiment for the parsed textual data.
    Type: Application
    Filed: March 2, 2023
    Publication date: September 7, 2023
    Inventors: Benjamin Olander, Jedediah Carty, Matthew Van Dusen, Philip Stockton