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:
Feb. 14, 2023

Filed:

Apr. 23, 2021
Applicant:

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

Inventors:

Vannia Gonzalez Macias, McLean, VA (US);

Paul Cho, McLean, VA (US);

Rahul Gupta, McLean, VA (US);

Scott Garcia, McLean, VA (US);

Adithya Ramanathan, McLean, VA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06N 20/00 (2019.01); G06F 40/30 (2020.01); G06F 40/289 (2020.01);
U.S. Cl.
CPC ...
G06F 11/0781 (2013.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01);
Abstract

Methods and systems are disclosed herein for using anomaly detection in timeseries data of user sentiment to detect incidents in computing systems and identify events within an enterprise. An anomaly detection system may receive social media messages that include a timestamp indicating when each message was published. The system may generate sentiment identifiers for the social media messages. The sentiment identifiers and timestamps associated with the social media messages may be used to generate a timeseries dataset for each type of sentiment identifier. The timeseries datasets may be input into an anomaly detection model to determine whether an anomaly has occurred. The system may retrieve textual data from the social media messages associated with the detected anomaly and may use the text to determine a computing system or event associated with the detected anomaly.


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