Research Article

Using Social Networking Data as a Location based Warning System

by  Harsh Alkutkar, George Sam, Kailash Tambe, Bharati Ainapure
journal cover
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
PDF

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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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Social Networks Data Mining Warning System Android

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