Journals Proceedings

Abstract

Document summarization is a data mining process of extracting the summary or zest from one or more documents. A summary is nothing but the actual theme of the document or set of documents. Most commonly document summery is considered to be the sentences or words from set of documents or a single document that appear more number of times in the document with corresponding to the other words. But a report on solar power may emphasis on several aspects of solar energy and may not actually have the term solar power repeated many a times. Therefore sophisticated algorithms are needed to extract the summary from the documents. There have been several algorithms on Text and Document summarizations, utilization various aspects of similarity measures, clustering, lexical rules and distance measures. It is understood from the literature that no single technique can give best interpretation or desired result in the summarization process. Therefore in this work we propose a multi parameter summarization technique with document clustering.