The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 24, 2025

Filed:

Mar. 29, 2022
Applicant:

American Express Travel Related Services Company, Inc., New York, NY (US);

Inventors:

Jugalkumar Prafulbhai Mehta, Bangalore, IN;

Manish Gupta, Bangalore, IN;

Padmavathi Mulagala, Ravipadu, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 40/232 (2020.01); G06V 30/412 (2022.01); G06V 30/418 (2022.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 40/232 (2020.01); G06V 30/412 (2022.01); G06V 30/418 (2022.01);
Abstract

Disclosed herein are system, method, and computer program product embodiments for categorizing sequences of text extracted from documents using natural language processing. In some embodiments, a categorization system may receive a first document file in a machine readable format. The categorization system may analyze a sequence of text from the first document file and identify a numeric text string in the sequence. The categorization system may also identify text data in the sequence matching text data from a second document file. The categorization system may remove the numeric text string and the matching data from the sequence to generate a trimmed version of the sequence. The categorization system may then apply a vectorization model to the trimmed version of the sequence as well as a trained deep learning model to the vector version to identify a corresponding category for the sequence of text.


Find Patent Forward Citations

Loading…