International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 59 - Issue 2 |
Published: December 2012 |
Authors: Harsh Alkutkar, George Sam, Kailash Tambe, Bharati Ainapure |
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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
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.