Automatic summarization based on user''s query expansion
.基于用户查询扩展的自动摘要技术*

This paper proposed a new document automatic summarization method using non-negative matrix factorization(NMF) and relevance feedback(RF).Firstly,represented the original document as the corresponding semantic feature vector by NMF and the extended user's initial query Key words:by RF,then extracted highly correlative sentences as a summary by calculating the similarity between expand query and semantic feature vector.Experiments show that the final summary can embody the document theme and reflect the us...