Tweet4act: Using incident-specific profiles for classifying crisis-related messages

Soudip Roy Chowdhury, Muhammad Imran, Muhammad Rizwan Asghar, Sihem Amer-Yahia, Carlos Castillo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management
PublisherKarlsruher Institut fur Technologie (KIT)
Pages834-839
Number of pages6
ISBN (Print)9783923704804
Publication statusPublished - 1 Jan 2013
Event10th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2013 - Baden-Baden, Germany
Duration: 12 May 201315 May 2013

Publication series

NameISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management

Other

Other10th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2013
CountryGermany
CityBaden-Baden
Period12/5/1315/5/13

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Keywords

  • Crisis informatics
  • Disaster management
  • Microblogging
  • Twitter data-analytics

ASJC Scopus subject areas

  • Information Systems

Cite this

Chowdhury, S. R., Imran, M., Asghar, M. R., Amer-Yahia, S., & Castillo, C. (2013). Tweet4act: Using incident-specific profiles for classifying crisis-related messages. In ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management (pp. 834-839). (ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management). Karlsruher Institut fur Technologie (KIT).