DocumentCode
3587546
Title
Location identification for crime & disaster events by geoparsing Twitter
Author
Dhavase, Nikhil ; Bagade, A.M.
Author_Institution
Dept. of Inf. Technol., Pune Inst. of Comput. Technol., Pune, India
fYear
2014
Firstpage
1
Lastpage
3
Abstract
Geoparsing means automatically identifying locations in text. The location mentions in messages during crime and disaster events are very crucial, as they can help emergency response teams to quickly identify the place to send rescue teams to the location. Use of social media during such crisis events has been rapidly increasing all over the world, as well as in India. We consider here the source of messages as Twitter because it is realtime, robust and can handle large amounts of data. We collect tweets at real time and then parse those tweets for crisis situation and location information. Extracting the location information to the level of streets & buildings will help to detect the exact location of the event; this is done with the help of NLP methods. We use classifiers to classify tweets to obtain the event occurred.
Keywords
disasters; grammars; natural language processing; program compilers; social networking (online); NLP methods; Twitter; crime events; crisis situation; disaster events; emergency response teams; geoparsing; location identification; real time; rescue teams; social media; Buildings; Conferences; Data mining; Event detection; Media; Real-time systems; Twitter; Geoparsing; Twitter; disaster response management; event classification; geographic information retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence of Technology (I2CT), 2014 International Conference for
Print_ISBN
978-1-4799-3758-5
Type
conf
DOI
10.1109/I2CT.2014.7092336
Filename
7092336
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