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Interactive Monitoring of Critical Situational Information on Social Media
Michael Aupetit
Muhammad Imran
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
According to many existing studies, the data available on social media platforms such as Twitter at the onset of a crisis situation could be useful for disaster response and management. However, making sense of this huge data coming at high-rate is still a challenging task for crisis managers. In this work, we present an interactive social media monitoring tool that uses a supervised classification engine and natural language processing techniques to provide a detailed view of an on-going situation. The tool allows users to apply various filtering options using interactive timelines, critical entities, and other logical operators to get quick access to situational information. The evaluation of the tool conducted with crisis managers shows its significance for situational awareness and other crisis management related tasks.
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Interactive%20Monitoring%20of%20Critical%20Situational%20Information%20on%20Social%20Media&stitle=Iscram%202017&issn=2411-3387&date=2017&spage=673&epage=683&aulast=Michael%20Aupetit&au=Muhammad%20Imran&pub=Iscram&place=Albi%2C%20France&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2055
citekey:MichaelAupetit+MuhammadImran2017
citation:Michael Aupetit, & Muhammad Imran. (2017). Interactive Monitoring of Critical Situational Information on Social Media. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 673-683). Albi, France: Iscram.
2017
ConferencePaper
text
Social media
disaster management
information visualization
file:http://idl.iscram.org/files/michaelaupetit/2017/2055_MichaelAupetit+MuhammadImran2017.pdf
Iscram
English
2411-3387
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
2017
673
683
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