Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/355035
Title: Information Mining for Disaster Response and Recovery Through Social Media Analysis
Researcher: Rexiline Ragini, J
Guide(s): Rubesh Anand, P M
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: Hindustan University
Completed Date: 2018
Abstract: The big data generated from social media and mobile network gives us with newlinetremendous opportunity to explore meaningful insights from it. Though big data newlinehas found its application in almost all the sectors, its application in crisis newlineresponse is still in early stage. During any crisis, making the right decision newlinebecomes critical to prevent the damages and soothing affected people with their newlineneeds. In such situations, the disaster management team relies often on newlineincomplete or incorrect data. This is where big data and computational newlineintelligence can help the rescue team to get the right information from a huge newlineamount of data, analyze it and take the best course of action.
Pagination: 
URI: http://hdl.handle.net/10603/355035
Appears in Departments:Department of Computer Application

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10_chapter 1.pdfAttached File5.51 MBAdobe PDFView/Open
11_chapter 2.pdf5.51 MBAdobe PDFView/Open
12_chapter 3.pdf5.51 MBAdobe PDFView/Open
13_results.pdf1.35 MBAdobe PDFView/Open
14_discussion.pdf112.1 kBAdobe PDFView/Open
15_summary.pdf47.08 kBAdobe PDFView/Open
16_future.pdf45.88 kBAdobe PDFView/Open
17_reference.pdf1.12 MBAdobe PDFView/Open
1_title.pdf5.51 MBAdobe PDFView/Open
2_certificate.pdf43.66 kBAdobe PDFView/Open
3_declaration.pdf5.51 MBAdobe PDFView/Open
5_contents.pdf5.43 MBAdobe PDFView/Open
6_abstract.pdf43.62 kBAdobe PDFView/Open
7_tables.pdf46.82 kBAdobe PDFView/Open
80_recommendation.pdf11.1 MBAdobe PDFView/Open
8_figures.pdf5.51 MBAdobe PDFView/Open
9_abbreviations.pdf5.51 MBAdobe PDFView/Open
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