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. 22, 2022

Filed:

Nov. 25, 2019
Applicant:

Beijing Xiaomi Intelligent Technology Co., Ltd., Beijing, CN;

Inventors:

Hongxu Ji, Beijing, CN;

Qun Guo, Beijing, CN;

Xiao Lu, Beijing, CN;

Erli Meng, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/35 (2019.01); G06F 40/30 (2020.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/35 (2019.01); G06F 40/30 (2020.01); G06K 9/6256 (2013.01); G06K 9/6269 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01);
Abstract

A method for optimizing a training set for text classification includes: the training set for text classification is acquired; part of samples are selected from the training set as a first initial training subset, and an incorrectly tagged sample in the first initial training subset is corrected to obtain a second initial training subset; a text classification model is trained according to the second initial training subset; the samples in the training set are predicted by the trained text classification model to obtain a prediction result; an incorrectly tagged sample set is generated according to the prediction result; a key incorrectly tagged sample is selected from the incorrectly tagged sample set, and a tag of the key incorrectly tagged sample is corrected to generate a correctly tagged sample corresponding to the key incorrectly tagged sample; and the training set is updated by using the correctly tagged sample.


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