STUDY ON LATENT SEMANTIC INDEX MODEL

摘要：

This paper extends the latent semantic index model based on the profoundly analysis of the vector space model, and has designed a latent semantic index model LSI.Through decomposing the singular value,LSI projects the word vector and document vector to a low dimension vector, to reduce the semantic blurred degree between the words and documents.Proved by the theory analysis,latent semantic index model has more accurate expression ability of the document semantic content, and obtains better index effect.

关键词： Vector Space Model Latent Semantic Indez Information Retrieval

作者: Dongjuan Shang Min Zhang

作者单位: Computer Science and Technology,Yuncheng University Yuncheng 044000,P.R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 220-222

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）