Automatic text categorization based on angle distribution

被引：0

作者：

Liu, T ^{[1
]}

Guo, J ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China

来源：

Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年

关键词：

text categorization; similarity; angle distribution;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to improve the performance of Chinese text categorization, a new Chinese text categorization method based on angle distribution is presented. The new method describes the text with a more precise model and proposed a new categorization algorithm by employing angle distribution. Simulation results on open Chinese text collection show that the precision and recall of most classes have been increased with reference to the classical method, and the macro average of precision and recall are both about 72 percents, which certificating the effectiveness and feasibility of the angle distribution-based algorithm.

引用

页码：3797 / 3801

页数：5