RESEARCH ON ANALYSIS METHOD OF CHAPTER STRUCTURE BASED ON LATENT SEMANTIC INDEXING*

摘要：

The analysis of the chapter structure in this article is an important element in the field of natural language processing. It can effectively improve the accuracy of the text retrieval and text summary. The latent semantic indexing model will be introduced into the chapter structure analysis in his article, which improves the method based on the traditional vector space model and make the dividing of the chapter structure more accurate, flexible and effective.

关键词： latent semantic indexing vector space mode singular vector decomposition natural language processing

作者: Dongmei Ai Daliang Wang Yuchao Zheng Dezheng Zhang

作者单位: School of Applied Science,University of Science and Technology Beijing;School of Information Enginee School of Information Engineering,University of Science and Technology Beijing.No 30,XuanYuan Rd.,Ha School of Applied Science,University of Science and Technology Beijing

会议类型: 国际会议

会议名称: 2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）