Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Research on Feature Selection Method in Chinese Text Automatic Classification

Authors
Ying Hong, Xiwen Shao
Corresponding Author
Ying Hong
Available Online May 2015.
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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Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.349How to use a DOI?
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/).

Cite this article

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  -