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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.

Patent No.:

US 11238243 B1

PDFFull Text
Date of Patent:
Feb. 01, 2022

Filed:

Sep. 27, 2019

Extracting joint topic-sentiment models from text inputs

Applicant:

Optum Technology, Inc., Eden Prairie, MN (US);

Inventors:

Suman Roy, Bangalore, IN;

Malladi Vijay Varma, Hyderabad, IN;

Siddhartha Asthana, Ghaziabad, IN;

Madhvi Gupta, New Delhi, IN;

Ashish Chaturvedi, Noida, IN;

Assignee:

Optum Technology, Inc., Eden Prairie, MN (US);

Attorney:

Alston & Bird LLP

Primary Examiner:

Sanchita Roy

Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06K 9/00 (2006.01); G16H 15/00 (2018.01); G06F 40/42 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01);
U.S. Cl.
CPC ...
G06F 40/56 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/42 (2020.01); G06K 9/00469 (2013.01); G16H 15/00 (2018.01);
Abstract

There is a need for solutions for more effective and efficient natural language processing systems for short texts. This need can be addressed, for example, by a system configured to obtain an initial term-topic correlation data object for a plurality of digital documents, obtain a user-defined term-topic correlation data object for the plurality of digital documents, generate a refined term-topic correlation data object and a refined document-sentiment correlation data object for the plurality of digital documents based at least in part on the initial term-topic correlation data object and the user-defined term-topic correlation data object, obtain a user-defined document-topic correlation data object for the plurality of digital documents, and generate a refined document-topic correlation object for the plurality of digital documents based at least in part on the refined term-topic correlation data object and the user-defined document-topic correlation data object.

Find Patent Forward Citations

Roy, Suman. (2022). Extracting joint topic-sentiment models from text inputs (U.S. Patent No. 11238243). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11238243

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