Survey on Graph and Cluster Based approaches in Multi-document Text Summarization

摘要: In today's era of World Wide Web, on-line information is increasing exponentially day by day. So there a need to condense corpus documents into useful automatically. Automatic Text summarization plays an important role extract salient feature from documents, which helps user get in short time and less effort. Summarization reduces the complexity document while retaining its features. Recently, most researchers have transferred their efforts single multi but they be aware issues redundancy, sentence ordering, fluency, etc. There are wide varieties approaches Multi-document like Graph Based, Cluster Time Based Term frequency -Inverse The survey starts introducing text (MDS) then discusses various methods MDS fall under methods. this paper, we analysed proposed field sort out some problems applied procedures also pin advantages, would help future working area, significant instruction for further analysis. Using one can generate new or even hybrid summarization.