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Using Social Networking Data as a Location based Warning System

by Harsh Alkutkar, George Sam, Kailash Tambe, Bharati Ainapure
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 2
Year of Publication: 2012
Authors: Harsh Alkutkar, George Sam, Kailash Tambe, Bharati Ainapure
10.5120/9520-3924

Harsh Alkutkar, George Sam, Kailash Tambe, Bharati Ainapure . Using Social Networking Data as a Location based Warning System. International Journal of Computer Applications. 59, 2 ( December 2012), 26-29. DOI=10.5120/9520-3924

@article{ 10.5120/9520-3924,
author = { Harsh Alkutkar, George Sam, Kailash Tambe, Bharati Ainapure },
title = { Using Social Networking Data as a Location based Warning System },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 2 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number2/9520-3924/ },
doi = { 10.5120/9520-3924 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:02.856249+05:30
%A Harsh Alkutkar
%A George Sam
%A Kailash Tambe
%A Bharati Ainapure
%T Using Social Networking Data as a Location based Warning System
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 2
%P 26-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Twitter and Facebook are huge social networks that contain a lot of data that can be used for sentiment analysis. We often find out that a particular area we travel to is dangerous, after asking around. However what if we could use social networking data like 'tweets' to find out if a place is actually dangerous? This paper introduces how to use social networking data, analyze it and use it for alerting someone in a disaster prone or high crime rate prone area with the help of smartphones using natural language processing and sentiment analysis.

References
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  2. Akshi Kumar, Teeja Mary Sebasitan 2012, Sentiment Analysis: A Perspective on its Past, Present and Future. International Journal of Intelligent Systems and Applications
  3. Ion SMEUREANU ; Cristian BUCUR 2012, Applying Supervised Opinion Mining Techniques on Online User Reviews, Informatica Economica Journal
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  5. Pang Heming, Jiang Linying, Yang Liu, Yue Kun. Design and Implementation of Android Phone Surveillance System - IEEE 2010 International Forum on Information Technology and Applications
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  10. Sentiment140 – Twitter Analysis Website http://www. sentiment140. com/
  11. Ming Hao- VAST, 2009 - Visual Opinion Analysis of Customer Feedback Data
Index Terms

Computer Science
Information Sciences

Keywords

Social Networks Data Mining Warning System Android

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