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Social media text mining and network analysis for decision support in natural crisis management

 
: Zielinski, Andrea; Middleton, S.E.; Tokarchuk, L.N.; Wang, X.

:
Fulltext urn:nbn:de:0011-n-2435892 (552 KByte PDF)
MD5 Fingerprint: 8239c1c07913869768f0cc84e75d59dc
Created on: 13.6.2013


Comes, T. (Ed.):
ISCRAM 2013, 10th International Conference on Information Systems for Crisis Response and Management. Proceedings : Baden-Baden, Germany, 12-15 May 2013
Baden-Baden, 2013
ISBN: 978-3-923704-80-4
pp.840-845
International Conference on Information Systems for Crisis Response and Management (ISCRAM) <10, 2013, Baden-Baden>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
decision support; Social Media; text mining; web mining; link analysis; VGI; location extraction

Abstract
A core issue in crisis management is to extract from the mass of incoming information what is important for situational awareness during mass emergencies. Based on a case study we develop a prototypical application, TweetComp1, which is integrated into the decision-support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper describes four novel approaches using focused twitter crawling, trustworthiness analysis, geo-parsing, and multilingual tweet classification in the context of how they could be used for monitoring crises. The validity of our state-of-the art text mining and network analysis technologies will be verified in different experiments based on a human annotated gold standard corpus.

: http://publica.fraunhofer.de/documents/N-243589.html