IJBTT

Key Phrase Extraction Based Multi-Document Summarization

	International Journal of Engineering Trends and Technology (IJETT)
	© 2014 by IJETT Journal
	Volume-13 Number-4
	Year of Publication : 2014
	Authors : Nidhi Chaudhary , Shalini Kapoor
	10.14445/22315381/IJETT-V13P232

Citation 

Nidhi Chaudhary , Shalini Kapoor. "Key Phrase Extraction Based Multi-Document Summarization", International Journal of Engineering Trends and Technology (IJETT), V13(4),148-153 July 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

A summary text is a derivative of a source text condensed by selection and/or generalization on important content. The growth of the World Wide Web has spurred the need of an efficient Summarization tool. It is almost impossible to read whole of the document, it is very helpful if the summary of the document is available so, that the reader can notify whether the document is of his interest or not. Multi-document summarization is an increasingly important task: as document collections grow larger, there is a greater need to summarize these documents to help users quickly find either the most important information overall (generic summarization) or the most relevant information to the user (topic-focused summarization).

References

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