Research on Feature Selection Method in Chinese Text Automatic Classification

DOI

10.2991/asei-15.2015.349How to use a DOI?

Keywords

text classification, feature selection, Bayes algorithm, chi-square statistic.

Abstract

This paper introduced the importance and workflow of Chinese web page classification. It studied the defects of chi-square statistic algorithm and improved it. At last, it verified the improved chi-square statistic algorithm combined with Bayes algorithm through a series of experiments. The experimental results show that the improved algorithm improved the accuracy of Chinese web page classification.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ying Hong
AU  - Xiwen Shao
PY  - 2015/05
DA  - 2015/05
TI  - Research on Feature Selection Method in Chinese Text Automatic Classification
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1759
EP  - 1763
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.349
DO  - 10.2991/asei-15.2015.349
ID  - Hong2015/05
ER  -