Publication Type:

Conference Paper

Source:

Procedia Computer Science, Elsevier B.V., Volume 115, p.350-358 (2017)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032439542&doi=10.1016%2fj.procs.2017.09.089&partnerID=40&md5=a7591dd5503a17b8ebfa13afc9aeff37

Keywords:

Chennai, Classifiers, Data mining, Decision trees, Disaster management, Disaster prevention, Disasters, floods, Influential users, Learning algorithms, Learning systems, Most influential users, Naive Bayes, Random forests, Social media, Social networking (online), Twitter Analysis

Abstract:

<p>Social media plays a major role in the propagation of information during disasters. This paper mainly contains a study regarding how people of Chennai used social media especially twitter, in response to the country's worst flood that had occurred recently. The tweets collected were analysed using machine learning algorithms such as Random Forests, Naive Bayes and Decision Tree. By comparing the performances of all the three it was found that Random Forests is the best algorithm that can be relied on, during a disaster. This paper also targeted the sources of the Twitter messages to explore the most influential users of Chennai flood. © 2017 The Author(s).</p>

Notes:

cited By 0; Conference of 7th International Conference on Advances in Computing and Communications, ICACC 2017 ; Conference Date: 22 August 2017 Through 24 August 2017; Conference Code:131212

Cite this Research Publication

M. R. Nair, Ramya, G. R., and Sivakumar, P. B., “Usage and analysis of Twitter during 2015 Chennai flood towards disaster management”, in Procedia Computer Science, 2017, vol. 115, pp. 350-358.

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