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:
Apr. 16, 2024

Filed:

Jan. 16, 2023
Applicant:

Nanjing University of Posts and Telecommunications, Nanjing, CN;

Inventors:

Yin Lu, Nanjing, CN;

Qingyuan Li, Nanjing, CN;

Abdusamjan Abdukirim, Nanjing, CN;

Jie Hu, Nanjing, CN;

Luocheng Wu, Nanjing, CN;

Yongan Guo, Nanjing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/31 (2019.01);
U.S. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/313 (2019.01);
Abstract

The present disclosure discloses a text classification system based on feature selection and a method thereof in the technical field of natural language processing and short text classification, comprising: acquiring a text classification data set; dividing the text classification data set into a training text set and a test text set, and then pre-processing the training text set and the test text set; extracting feature entries from the pre-processed training text set through improved chi-square statistics to form feature subsets; using TF-IWF algorithm to give the weight to the extracted feature entries; based on the weighted feature entries, establishing a short text classification model based on a support vector machine; and classifying the pre-processed test text set by the short text classification model. The present disclosure solves the problem that the short text content is sparse to some extent, thereby improving the performance of short text classification.


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