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:
Nov. 01, 2022

Filed:

Dec. 11, 2019
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventor:

Mark Andrew Rich, San Francisco, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/95 (2019.01); G06N 20/20 (2019.01); G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); G06N 5/02 (2006.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 16/24578 (2019.01); G06F 16/9535 (2019.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01);
Abstract

In one embodiment, a method includes accessing a set of training objects associated with an object-classification, identifying, from comments associated with the training objects, by an initial object-classifier algorithm configured to classify objects as associated with an object-classification by comparing comments associated with each object to one or more features, a first set of features, each feature having a corresponding text expression and a feature score indicating a correlation value between the feature and the object-classification, adding the first set of features to the algorithm to generate a revised object-classifier algorithm, accessing a set of test objects, classifying one or more of the test objects as associated with the object-classification, identifying, from comments associated with the classified test objects, a second set of features having feature scores greater than a threshold feature score, and adding the second set of features to the revised algorithm to generate a final object-classifier algorithm.


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