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Automatic Extraction of Social Interface System using Big-Data Analysis with Emergency Alert

Authors(3):

Jagadeeswaran J, Haashim L, Abraar S
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In the world scenario, there is no proper fast generating alert system was implemented to report about the natural disasters. There is less possible to take immediate rescue process to save the people. The proposed model generates an automatic alert text as SMS or E-mail by extracting keywords from the tweets shared by the twitter users. The Support vector machine a machine learning algorithm used to analyze on tweets for separating positive and negative class. The system interfaces Maximum Peak of the particular keyword like Earthquake along with a particular time and at a particular location. The time and location is extracted using Stemming algorithm. Immediately an automatic alert is send as SMS and Email to the registered tweet users as well as to the Nearest Rescue Team.

Jagadeeswaran J, Haashim L, Abraar S

tweets, Earthquake, Stemming

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Publication Details

Published in : Volume 1 | Issue 2 | March-April - 2015
Date of Publication Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
213-216 IJSRSET152274   Technoscience Academy

Cite This Article

Jagadeeswaran J, Haashim L, Abraar S , "Automatic Extraction of Social Interface System using Big-Data Analysis with Emergency Alert", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.213-216, March-April-2015.
URL : http://ijsrset.com/IJSRSET152274.php

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