The Research of Text Classification Technology Based on Improved Maximum Entropy Model

被引：2
|
作者：
Yin, Chunyong [1 ]
Xi, Jinwen [1 ]
Wang, Jin [1 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Meteorol Observat & Informat Proc, Jiangsu Engn Ctr Network Monitoring, Sch Comp & Software, Nanjing, Jiangsu, Peoples R China
来源：
2015 FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE THEORY, SYSTEMS AND APPLICATIONS (CCITSA 2015) | 2015年
基金：
中国国家自然科学基金;
关键词：
text categorization; maximum entropy models; pretreatment; feature selection;
D O I：
10.1109/CCITSA.2015.12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, it studies the Techniques of Text Categorization based on maximum entropy models, and gives technical solutions for the network through improved technology, which contains a large number of documents. This paper describes an method based on improved maximum entropy model for text classification, a features selection method and pretreatment methods, the experimental results with good accuracy and recall, has played a certain role for large amounts of text, to meet the requirements of practical application.
引用
收藏
页码：142 / 145
页数：4
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