Event detection from citizen journalism news articles using social tagging
88 p.
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sg-ntu-dr.10356-475292019-12-10T13:37:17Z Event detection from citizen journalism news articles using social tagging Srivatsava Vajapeyam Goh Hoe Lian, Dion Wee Kim Wee School of Communication and Information DRNTU::Social sciences::Journalism::Social aspects 88 p. Increasingly, people are relying on online sources for their daily news. In the past few years, after the advent of blogs, citizen journalism has emerged, competing with mainstream media for the latest breaking information. Citizen journalism has successfully leveraged on the high penetration of cameras and camera phones amongst citizens and the easy access to high speed internet. Master of Science (Information Studies) 2011-12-27T08:35:47Z 2011-12-27T08:35:47Z 2009 2009 Thesis http://hdl.handle.net/10356/47529 Nanyang Technological University application/pdf |
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DRNTU::Social sciences::Journalism::Social aspects Srivatsava Vajapeyam Event detection from citizen journalism news articles using social tagging |
description |
88 p. |
author2 |
Goh Hoe Lian, Dion |
author_facet |
Goh Hoe Lian, Dion Srivatsava Vajapeyam |
format |
Theses and Dissertations |
author |
Srivatsava Vajapeyam |
author_sort |
Srivatsava Vajapeyam |
title |
Event detection from citizen journalism news articles using social tagging |
title_short |
Event detection from citizen journalism news articles using social tagging |
title_full |
Event detection from citizen journalism news articles using social tagging |
title_fullStr |
Event detection from citizen journalism news articles using social tagging |
title_full_unstemmed |
Event detection from citizen journalism news articles using social tagging |
title_sort |
event detection from citizen journalism news articles using social tagging |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/47529 |
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1681035027541917696 |