Research Article
Using Social Networking Data as a Location based Warning System
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 59 - Issue 2 |
| Published: December 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 },
year = { 2012 },
volume = { 59 },
number = { 2 },
pages = { 26-29 },
doi = { 10.5120/9520-3924 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Harsh Alkutkar
%A George Sam
%A Kailash Tambe
%A Bharati Ainapure
%T Using Social Networking Data as a Location based Warning System%T
%J International Journal of Computer Applications
%V 59
%N 2
%P 26-29
%R 10.5120/9520-3924
%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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