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:
Sep. 07, 2021

Filed:

Feb. 28, 2019
Applicant:

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

Inventors:

Harpreet Singh Hira, Frisco, TX (US);

Abhay Dhundiraju Sastry, Plano, TX (US);

Priyadarshini Rajendran, Little Elm, TX (US);

Sanmathi Sathyanarayana Naga, Dallas, TX (US);

Tak Yiu Daniel Li, Frisco, TX (US);

Majo Paulose, Plano, TX (US);

Jasen Paul Stine, Frisco, TX (US);

Darpan Sharma, McKinney, TX (US);

Nicholas Allen McHenry, Plano, TX (US);

Assignee:

INTUIT, INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/216 (2020.01); H04N 21/2187 (2011.01); G06F 40/242 (2020.01); G06F 40/289 (2020.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/216 (2020.01); G06F 40/20 (2020.01); G06F 40/242 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); H04N 21/2187 (2013.01);
Abstract

Certain aspects of the present disclosure provide techniques for providing sentiment analysis of content. In order to determine the overall sentiment of content, a request is received by a sentiment analyzer, which then identifies a content identification number and retrieves comments associated with the content identification number. The sentiment analyzer pre-processes the comments, which includes removing all personal identifying information from the comments. The sentiment analyzer sends the pre-processed comments to a natural language processing service, and in turn, receives sentiment indications corresponding to the comments provided. Based on the sentiment scores, the sentiment analyzer generates a sentiment analysis and displays the sentiment analysis in the graphical user interface generated by the sentiment analyzer.


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