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

Authors

  • Jagadeeswaran J  Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
  • Haashim L  Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
  • Abraar S   Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India

Keywords:

tweets, Earthquake, Stemming

Abstract

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.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-04-25

Issue

Volume 1, Issue 2, March-April-2015

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.