Feature specific sentence extraction approaches for enhanced multi document summary generation

dc.contributor.guideBalasubramanie Pen_US
dc.coverage.spatialFeature specific sentence extraction approaches for enhanced multi document summary generationen_US
dc.creator.researcherKogilavani Aen_US
dc.date.accessioned2014-08-19T11:36:05Z
dc.date.available2014-08-19T11:36:05Z
dc.date.awarded30/10/2013en_US
dc.date.completed01/10/2013en_US
dc.date.issued2014-08-19
dc.date.registeredn.d.en_US
dc.description.abstractThe 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 newlineen_US
dc.description.noteAppendix p.159-173, References p.174-181.en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions23cm.en_US
dc.format.extentxxi, 184p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/22893
dc.languageEnglishen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.relationp,174-181.en_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.subject.keywordMulti-document summaryen_US
dc.titleFeature specific sentence extraction approaches for enhanced multi document summary generationen_US
dc.title.alternativeen_US
dc.type.degreePh.D.en_US

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