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:
May. 09, 2023

Filed:

May. 27, 2022
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Akshay Ravindran, Mountain View, CA (US);

Avinash Thekkumpat, Mountain View, CA (US);

Raja Sabra, San Jose, CA (US);

Shylaja R. Deshpande, Fremont, CA (US);

Assignee:

Intuit Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0282 (2023.01); G06F 40/295 (2020.01); G06N 7/01 (2023.01); G06F 17/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0282 (2013.01); G06F 40/295 (2020.01); G06N 7/01 (2023.01);
Abstract

A method including receiving natural language text. A negative review is extracted from the natural language text using a first machine learning model (MLM). A first input to the first MLM is the natural language text and a first output of the first MLM is a first probability that the negative review has a negative sentiment. The negative review includes an instance of the natural language text having a corresponding negative sentiment probability above a threshold value. The negative review is categorized by executing a second MLM. A second input to the second MLM is the negative review. A second output of the second MLM is a second probability that the negative review is assigned to a category. A name of a target of the negative review is identified using the name recognition controller and the negative review. The name of the target and the category are provided.


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