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:
Dec. 03, 2019

Filed:

Dec. 13, 2017
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Michael Jones, Portland, OR (US);

Scott Enman, Saint John, CA;

Collin Chun-Kit Lee, New York, NY (US);

David Campbell, San Francisco, CA (US);

Christopher John Nicholls, Fredericton, CA;

Assignee:

SALESFORCE.COM, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G06Q 50/00 (2012.01); G06F 17/24 (2006.01); G06F 17/21 (2006.01);
U.S. Cl.
CPC ...
G06F 17/2785 (2013.01); G06F 17/218 (2013.01); G06F 17/24 (2013.01); G06Q 50/01 (2013.01);
Abstract

Provided are techniques for avoiding sentiment model overfitting in a machine language model. A current list of keywords in a current sentiment model can be updated to create a proposed list of keywords in a proposed sentiment model. Machine-generated sentiment results, based on the proposed sentiment model, are presented to identify model overfitting, without revising the current set of keywords. The proposed set of keywords can be edited, and when overfitting is not present, the current list of keywords is replaced by the proposed list of keywords.


Find Patent Forward Citations

Jones, Michael. (2019). Avoiding sentiment model overfitting in a machine language model (U.S. Patent No. 10496751). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10496751

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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