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Title: Query sensitive comparative summarization using frequent terms set and semantic relevance based segments
Researcher: Chitra P
Guide(s): Sarukesi K
Keywords: Information and communication engineering
World Wide Web
Upload Date: 20-Aug-2014
University: Anna University
Completed Date: 01/08/2013
Abstract: The exponential growth of World Wide Web has made it the prime database in the digital era for all information needs The enormous growth diverse dynamic semi structured and unstructured nature of web makes internet exceptionally difficult in searching and retrieving relevant information Search engines are helpful to some extent in locating the web resources For each query given by user search engines return thousands of URLs as search result which normally includes many irrelevant less relevant and redundant results This requires the user to further browse many web newlinedocuments to retrieve just a few lines of content of significance to the user Today there is a thrust for quick and immediate identification and retrieval of required information as expected by the users Automatic summarizers help the users to get the gist of the web page in few seconds without going through the entire content by applying web content mining techniques The query based summarizers process the entire document content newlineto identify and extract query relevant pieces of information at run time This challenge to the processing capacity of summarizers can be reduced by limiting the size of the textual unit that need to be processed newline newline
Pagination: xxviii, 173p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File26.07 kBAdobe PDFView/Open
02_certificate.pdf413.11 kBAdobe PDFView/Open
03_abstract.pdf10.19 kBAdobe PDFView/Open
04_acknowledgement.pdf6.64 kBAdobe PDFView/Open
05_contents.pdf24.08 kBAdobe PDFView/Open
06_chapter1.pdf85.94 kBAdobe PDFView/Open
07_chapter2.pdf62.86 kBAdobe PDFView/Open
08_chapter3.pdf20.12 kBAdobe PDFView/Open
09_chapter4.pdf136.37 kBAdobe PDFView/Open
10_chapter5.pdf387.49 kBAdobe PDFView/Open
11_chapter6.pdf1.62 MBAdobe PDFView/Open
12_chapter7.pdf110.55 kBAdobe PDFView/Open
13_chapter8.pdf792.41 kBAdobe PDFView/Open
14_chapter9.pdf31.04 kBAdobe PDFView/Open
15_appendix.pdf166.02 kBAdobe PDFView/Open
16_references.pdf48.24 kBAdobe PDFView/Open
17_publications.pdf6.54 kBAdobe PDFView/Open
18_vitae.pdf7.04 kBAdobe PDFView/Open

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