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    Detecting Emergency Situations by Inferring Locations in Twitter

    Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017)

    5 September 2017, Barcelona, Spain


    Hernan Sarmiento



    Most methods to detect emergency situations using Twitter rely on keywords. The problem with keyword based methods is the need for training in specific domains for different types of events, for example: earthquakes, typhoons, terrorist attacks, tornadeos, etc. In contrast, our proposal uses the recurring mention of a country-locations in microblogging messages to identify such events without using keywords and characterize through of inter-arrival times the urgency of situation.


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