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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 25.94 kB | Adobe PDF | View/Open |
02_certificate.pdf | 918.8 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 10.06 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 6.11 kB | Adobe PDF | View/Open | |
05_contents.pdf | 29.77 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 76.59 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 40.68 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 141.58 kB | Adobe PDF | View/Open | |
09_chapter4.pdf | 124.53 kB | Adobe PDF | View/Open | |
10_chapter5.pdf | 197.67 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 180.19 kB | Adobe PDF | View/Open | |
12_chapter7.pdf | 15.57 kB | Adobe PDF | View/Open | |
13_appendix.pdf | 57 kB | Adobe PDF | View/Open | |
14_references.pdf | 31.09 kB | Adobe PDF | View/Open | |
15_publications.pdf | 7.98 kB | Adobe PDF | View/Open | |
16_vitae.pdf | 5.58 kB | Adobe PDF | View/Open |
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