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:
Mar. 29, 2022

Filed:

Dec. 11, 2018
Applicant:

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

Inventors:

Ravi Batra, Jersey City, NJ (US);

Sandeep Bose, Scottsdale, AZ (US);

Mario Fragoso, Peoria, AZ (US);

Ravneet Ghuman, Phoenix, AZ (US);

Madhu Sudan Reddy Gudur, Phoenix, AZ (US);

Suraj Madnani, River Edge, NJ (US);

Curtis T. Merryweather, Madison, NJ (US);

Ravi Varma, White Plains, NY (US);

Vinod Yadav, Scottsdale, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/95 (2019.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06F 40/295 (2020.01); G06Q 40/02 (2012.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/95 (2019.01); G06F 40/295 (2020.01); G06N 5/045 (2013.01); G06N 20/00 (2019.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06Q 40/02 (2013.01);
Abstract

Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.


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