The Lao Text Classification Method Based on KNN

被引：31

作者：

Chen, Zhuo ^{[1
]}

Zhou, Lan Jiang ^{[2
]}

Li, Xuan Da ^{[3
]}

Zhang, Jia Nan ^{[3
]}

Huo, Wen Jie ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Sch Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China

[2] Kunming Univ Sci & Technol, Key Lab Intelligent Informat Proc, Kunming 650500, Yunnan, Peoples R China

[3] Informat Engn Univ, Kunming Team Sch 3, Kunming 650500, Yunnan, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND INTELLIGENT ROBOTICS (ICMIR-2019) | 2020年 / 166卷

关键词：

Lao News Category; KNN; Data Processing;

D O I：

10.1016/j.procs.2020.02.053

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Text categorization is a common application scenario in the NLP field, and has many applications in public opinion monitoring and news classification. At present, there are few classifications for Lao text, but classification-oriented methods are widely used in other languages. Faced with the situation, this paper proposes a KNN-based classification method of Lao news text. First of all, preprocessing and feature extraction of Lao news text, then adjusting the parameters through KNN classifier, finally processing in data normalization and data dimensionality reduction, thus improving the classification effect. (C) 2020 The Authors. Published by Elsevier B.V.

引用

页码：523 / 528

页数：6