Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/22893
Title: Feature specific sentence extraction approaches for enhanced multi document summary generation
Researcher: Kogilavani A
Guide(s): Balasubramanie P
Keywords: Information and communication engineering
Multi-document summary
Upload Date: 19-Aug-2014
University: Anna University
Completed Date: 01/10/2013
Abstract: The growing amount of data availability of unstructured information and information diversity have made information and knowledge management a real challenge Even though large quantities of data are generally available easy access to the required information at the right time and in the most appropriate form is still difficult A short summary will improve efficiency since not all documents come with an abstract or newlinesummary To address this issue document summarization system from multiple documents is proposed Multi document summarization is an emerging technique aimed at retrieval of information from multiple documents on the same topic The resulting summary allows individual users to quickly familiarize themselves with information contained in a large collection of documents This technology produces overviews that are easier and faster to browse the original documents The growing amount of data availability of unstructured information and information diversity have made information and knowledge management a real challenge Even though large quantities of data are newlinegenerally available easy access to the required information at the right time and in the most appropriate form is still difficult A short summary will improve efficiency since not all documents come with an abstract or summary To address this issue document summarization system from multiple documents is proposed Multi document summarization is an emerging technique aimed at retrieval of information from multiple documents on the same topic The resulting summary allows individual users to quickly familiarize themselves with information contained in a large collection of documents This technology produces overviews that are easier and faster to browse the newlineoriginal documents The objective of this research work is to develop a method for newlineautomatic construction of multi document summaries This research work concentrates on sentence extraction based summary generation approaches This type of summarization involves identifying the most relevant sentences from the text and putting them together to create a concise summary The objective of this research work is to develop a method for automatic construction of multi document summaries This research work concentrates on sentence extraction based summary generation approaches This type of summarization involves identifying the most relevant sentences newlinefrom the text and putting them together to create a concise summary newline newline
Pagination: xxi, 184p.
URI: http://hdl.handle.net/10603/22893
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.94 kBAdobe PDFView/Open
02_certificate.pdf918.8 kBAdobe PDFView/Open
03_abstract.pdf10.06 kBAdobe PDFView/Open
04_acknowledgement.pdf6.11 kBAdobe PDFView/Open
05_contents.pdf29.77 kBAdobe PDFView/Open
06_chapter1.pdf76.59 kBAdobe PDFView/Open
07_chapter2.pdf40.68 kBAdobe PDFView/Open
08_chapter3.pdf141.58 kBAdobe PDFView/Open
09_chapter4.pdf124.53 kBAdobe PDFView/Open
10_chapter5.pdf197.67 kBAdobe PDFView/Open
11_chapter6.pdf180.19 kBAdobe PDFView/Open
12_chapter7.pdf15.57 kBAdobe PDFView/Open
13_appendix.pdf57 kBAdobe PDFView/Open
14_references.pdf31.09 kBAdobe PDFView/Open
15_publications.pdf7.98 kBAdobe PDFView/Open
16_vitae.pdf5.58 kBAdobe PDFView/Open


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