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Tweet4act: Using incident-specific profiles for classifying crisis-related messages
Soudip Roy Chowdhury
Muhammad Imran
Muhammad Rizwan Asghar
Amer-Yahia, S.
Carlos Castillo
T. Comes, F.F., S. Fortier, J. Geldermann and T. Müller
We present Tweet4act, a system to detect and classify crisis-related messages communicated over a microblogging platform. Our system relies on extracting content features from each message. These features and the use of an incident-specific dictionary allow us to determine the period type of an incident that each message belongs to. The period types are: Pre-incident (messages talking about prevention, mitigation, and preparedness), during-incident (messages sent while the incident is taking place), and post-incident (messages related to the response, recovery, and reconstruction). We show that our detection method can effectively identify incident-related messages with high precision and recall, and that our incident-period classification method outperforms standard machine learning classification methods.
urn:ISBN:9783923704804
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Tweet4act%3A%20Using%20incident-specific%20profiles%20for%20classifying%20crisis-related%20messages&stitle=ISCRAM%202013&issn=2411-3387&isbn=9783923704804&date=2013&spage=834&epage=839&aulast=Soudip%20Roy%20Chowdhury&au=Muhammad%20Imran&au=Muhammad%20Rizwan%20Asghar&au=Amer-Yahia%2C%20S.&au=Carlos%20Castillo&pub=Karlsruher%20Institut%20fur%20Technologie&place=KIT%3B%20Baden-Baden&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=396
citekey:SoudipRoyChowdhury_etal2013
citation:Soudip Roy Chowdhury, Muhammad Imran, Muhammad Rizwan Asghar, Amer-Yahia, S., & Carlos Castillo. (2013). Tweet4act: Using incident-specific profiles for classifying crisis-related messages. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 834-839). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
2013
ConferencePaper
text
Artificial intelligence
Disaster prevention
Classification methods
Crisis informatics
Disaster management
Micro-blogging platforms
Microblogging
Precision and recall
Standard machines
Twitter data-analytics
Information systems
file:http://idl.iscram.org/files/chowdhury/2013/396_Chowdhury_etal2013.pdf
Karlsruher Institut fur Technologie
English
2411-3387
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
2013
834
839
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