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. 09, 2026

Filed:

Oct. 18, 2022
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

David Chen, Durham, NC (US);

Maury Courtland, Durham, NC (US);

Aysu Ezen Can, Cary, NC (US);

Sahil Badyal, McLean, VA (US);

Assignee:

CAPITAL ONE SERVICES, LLC, McLean, VA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 3/0484 (2022.01); G06N 20/20 (2019.01); G06Q 30/0282 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0282 (2013.01); G06F 3/0484 (2013.01); G06F 40/30 (2020.01); G06N 20/20 (2019.01);
Abstract

Disclosed embodiments may include a method for generic aspect-based sentiment analysis. The system may receive training data, which is used to train one or more machine learning models. The system may receive data, which may be transcribed call data. The system may extract one or more aspects from the call data using one machine learning model. For each aspect, the system may determine a sentiment polarity. The system may filter the aspects and sentiment polarities and analyze trends based on the filtered aspects and sentiment polarities. The system may output a result to a dynamic graphical user interface based on the trends. This may allow a user to detect customer attitudes toward a variety of subjects and trends over time without training machine learning models for specific domains.


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