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. 16, 2021

Filed:

Oct. 12, 2018
Applicant:

Kpmg Llp, New York, NY (US);

Inventors:

Manish U. Garg, Jersey City, NJ (US);

Kallol K. Ghosh, Alpharetta, GA (US);

Elliott A. Torres, Wilmette, IL (US);

Nikhil S. Dharap, Chicago, IL (US);

Steve Rainey, Vienna, VA (US);

Timothy J. Cerino, Hastings on Hudson, NY (US);

John Hyung Lee, Irvine, CA (US);

Nader Karimi, New York, NY (US);

Assignee:

KPMG LLP, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9032 (2019.01); G06F 40/14 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06F 40/131 (2020.01); G06F 40/169 (2020.01); G06F 40/205 (2020.01); G06F 40/216 (2020.01); G06F 40/295 (2020.01); G06N 20/00 (2019.01); G06F 16/178 (2019.01); G06F 16/11 (2019.01); G06F 16/28 (2019.01); G06F 16/35 (2019.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06F 16/90332 (2019.01); G06F 16/116 (2019.01); G06F 16/1794 (2019.01); G06F 16/285 (2019.01); G06F 16/35 (2019.01); G06F 40/131 (2020.01); G06F 40/14 (2020.01); G06F 40/169 (2020.01); G06F 40/205 (2020.01); G06F 40/216 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06K 9/00456 (2013.01); G06N 20/00 (2019.01);
Abstract

The invention relates to a computer-implemented system and method for analyzing unstructured data from a plurality of input files, and standardizing the data to a format that can be consumed by downstream systems. The method may comprise the steps of: receiving at least one input file to be analyzed, wherein the at least one input file includes the structured and unstructured data, splitting the at least one input file into a plurality of documents, classifying each page of the plurality of documents as one of structured or unstructured data, parsing the pages of the plurality of documents classified as unstructured data, extracting relevant data from the parsed pages, mapping each of the extracted relevant data to standardized output; and generating canonical data sets based on the standardized outputs.


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