1. Shodhganga@INFLIBNET
  2. Andhra University
  3. Department of Computer Science & Systems Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/461480
Title: Extractive Text Summarization Techniques Using Rough Sets And Graph Theory
Researcher: V.V. Murali krishna R.
Guide(s): ch. satyananda reddy
Keywords: Computer Science
Computer Science Software Engineering
Engineering and Technology
University: Andhra University
Completed Date: 2020
Abstract: newlineExtractive text summarization is concerned with the task of selecting important sentences in a text document. The selected sentences are referred as the extractive summary. Extractive summaries are generated by search engines in-order to help users to quickly find whether a given document is relevant or not.
Pagination: 151 pg
URI: http://hdl.handle.net/10603/461480
Appears in Departments:Department of Computer Science & Systems Engineering

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01_title.pdfAttached File378.64 kBAdobe PDFView/Open
02_prelim pages.pdf376.47 kBAdobe PDFView/Open
03_content.pdf58.5 kBAdobe PDFView/Open
04_abstract.pdf43.33 kBAdobe PDFView/Open
05_chapter 1.pdf491.99 kBAdobe PDFView/Open
06_chapter 2.pdf365.58 kBAdobe PDFView/Open
07_chapter 3.pdf611.76 kBAdobe PDFView/Open
08_chapter 4.pdf717.63 kBAdobe PDFView/Open
09_chapter 5.pdf525.49 kBAdobe PDFView/Open
10_chapter 6.pdf414.97 kBAdobe PDFView/Open
11_chapter 7.pdf400.98 kBAdobe PDFView/Open
12_annexures.pdf410.87 kBAdobe PDFView/Open
80_recommendation.pdf788.95 kBAdobe PDFView/Open
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