Wednesday 24th of April 2024
 

An Analytical Framework for Multi-Document Summarization



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.

Keywords: Multi-Document Summarization, Generic Summary, Query Based Summary

Download Full-Text

IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »