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. 10, 2024

Filed:

Feb. 25, 2022
Applicants:

State Grid Corporation of China, Beijing, CN;

Jiangxi Normal University, Jiangxi, CN;

Inventors:

Jinfeng Fan, Beijing, CN;

Yong Ma, Beijing, CN;

Shiyun Shao, Beijing, CN;

Yunni Xia, Beijing, CN;

Mengxuan Dai, Beijing, CN;

Fan Xu, Beijing, CN;

Qi Huang, Beijing, CN;

Hui Qian, Beijing, CN;

Congjun Zhao, Beijing, CN;

Assignees:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/33 (2019.01);
U.S. Cl.
CPC ...
G06F 16/355 (2019.01); G06F 16/3344 (2019.01);
Abstract

A document classification method includes: obtaining a document; extracting document keywords and a document abstract from the document; determining, according to the document keywords and the document abstract, a first classification label of the document; receiving a second classification label of the document, the second classification label being determined according to the document keywords, the document abstract, and the first classification label; obtaining a classification efficiency value of the documents, the classification efficiency value indicating a confidence level of the second classification label; and determining the second classification label as a final classification label of the document if the classification efficiency value is greater than or equal to a first threshold. The document classification method described above may improve the speed of document classification by computer, thereby improving the efficiency of document classification.


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