Keyword Merging Based Multi Document Enhanced Summarization

Abstract

Automatic text summarization is a wide research area. There are several ways in which one can characterize different approaches to text summarization: extractive and abstractive from single document or multi document. Summary is text that is produced from one or more text. Document summarization is a procedure that building coated version of document that gives respected data to the client, and multi-document summarization is to produce a summary conveying the larger part of data substance from a set of documents about an implicit or explicit primary point.This paper describes a system for the summarization of multiple documents. The system produces multi-document summaries using data merging techniques. For combining multiple document on same thing the system uses Bisecting k-means algorithm which works better than basic K-means algorithm.Our System uses Enhanced Summarization algorithm to summarize multiple document.The Enhanced algorithm is applied separately on each cluster. According to results this system gives better results as compared to NEWSUM algorithm.
DOI: 10.17762/ijritcc2321-8169.1507117