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Detecting Emergency Situations by Inferring Locations in Twitter

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

Future Directions in Information Access

5 September 2017

Information Retrieval, Emergency Situation, Citizen Sensors, Social Media

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      Abstract

      Most methods to detect emergency situations using Twitter rely on keywords. The problem with keywordbased 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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      Emergency situation awareness from twitter for crisis management

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        Author and article information

        Affiliations
        Center for Semantic Web Research

        Deparment of Computer Science

        University of Chile, Beauchef 851, Santiago, 8370456, Chile
        Contributors
        Conference
        September 2017
        September 2017
        : 1-4
        10.14236/ewic/FDIA2017.7
        © Sarmiento. Published by BCS Learning and Development Ltd. Proceedings of the 7th Symposium on Future Directions in Information Access 2017

        This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

        Seventh BCS-IRSG Symposium on Future Directions in Information Access
        FDIA
        7
        Barcelona, Spain
        5 September 2017
        Electronic Workshops in Computing (eWiC)
        Future Directions in Information Access
        Product
        Product Information: 1477-9358 BCS Learning & Development
        Self URI (journal page): https://ewic.bcs.org/
        Categories
        Electronic Workshops in Computing

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