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An Analytical Framework for Multi-Document Summarization

Author(s): J Jayabharathy | S Kanmani | Buvana

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 8;
Issue: 3;
Start page: 308;
Date: 2011;
Original page

Keywords: Multi-Document Summarization | Generic Summary | Query Based Summary | IJCSI

Growth of information in the web leads to drastic increase in field of information retrieval. Information retrieval is the process of searching and extracting the required information from the web. The main purpose of the automated information retrieval system is to reduce the overload of document retrieval. Today's retrieval system presents vast information, which suffers from redundancy and irrelevance. There arises a need to provide high quality summary in order to allow the user to quickly locate the desired and concise information ase number of documents available on user's desktops and internet increases. This paper provides the complete survey, which gives a comparative study about the existing multi-Document summarization techniques. This study gives an overall view about the current research issues, recent methods for summarization, data set and metrics suitable for summarization. This frame work also investigates about the performance competence of the existing techniques.
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