Research of Boosting-based on text classification precision

摘要：

Automatic Document Classification System is an important research direction for information processing, and it has been widely used in the field of document retrieval,information filtering and document management. The study about the factors influencing the accuracy has become necessary in order to improve the accuracy of existing text classification algorithms. This paper focused on the influencing factors of the classification accuracy, Designs some classifying voter and proposes the experiment results of the them. The experiment results show that using an adequate classifying voter can improve the accuracy of text classification.

关键词： free Text classifier Boosting, classification precision

作者: ZHOU Yi LEI Guohua LI Xianghong LIU Lei

作者单位: Department of Commpter Science & Technology HeilongJiang Institute of Technology Herbin, Heilongjiang, 150050, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 196-199

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）