Disaster Reporting and Alert System Using Tweets in a Social Media

Authors(4) :-Dr. P. Tamije Selvy, V. Suriya Prakash, S. Shriram, N.Vimalesh

The number of Social Media users have increased rapidly these days and a lot of valuable as well as non valuable information is shared in the social which is capable of reaching many people in a short period of time and hence the valuable information that are shared in the social media can be used for many types of analysis. In this paper the tweets that are shared in the name of a disaster is taken and then a alert system is build. This alert system gives alert to the users after checking the received data with the centralized database. This paper also gives a comparative study on the algorithm used in extracting the data from the social media which gives us the accuracy rate of different algorithm that can be used for text mining.

Authors and Affiliations

Dr. P. Tamije Selvy
Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India
V. Suriya Prakash
Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India
S. Shriram
Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India
N.Vimalesh
Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India

Text Mining, Disaster, Twitter, Tweets

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 176-181
Manuscript Number : CSEIT195249
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. P. Tamije Selvy, V. Suriya Prakash, S. Shriram, N.Vimalesh, "Disaster Reporting and Alert System Using Tweets in a Social Media", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.176-181, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT195249
Journal URL : http://ijsrcseit.com/CSEIT195249

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