Chinese Text Classification Based on Summarization Technique

摘要：

Two approaches to text classification based on summarization technique are proposed: in the first approach, the heuristic rules of auto-summarization are used to select and weight features for every category, and texts are classified by these features; in the second approach, the text summarization is directly used for classification instead of the original text. Experimental results show that the combination of summarization technology and classification technology can not only reduce the time of feature selection and classification but also improve the performance of text classification.

作者: Xiao-yu Jiang Xiao-zhong Fan Kang Chen

作者单位: School of Computer Science and Technology, Beijing Institute of Technology; Business School, Beijing School of Computer Science and Technology, Beijing Institute of Technology

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）