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Author
André Dittrich
;
Christian Lucas
Title
A step towards real-time analysis of major disaster events based on tweets
Type
Conference Article
Year
2013
Publication
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2013
Volume
Issue
Pages
868-874
Keywords
Information systems
;
Semantics
;
Social networking (online)
;
Crisis management
;
Event detection
;
Functional model
;
Micro-blogging platforms
;
Real time analysis
;
Semantic content analysis
;
Social sensors
;
Twitter
;
Disasters
Abstract
The most popular micro blogging platform Twitter has been the topic of a variety of research papers related to disaster and crisis management. As an essential first step and basis for a real-time methodology to exploit Twitter for event detection, localization and ultimately semantic content analysis, a functional model to describe the amount of tweets during a day has been developed. It was derived from a corpus of messages in an exemplary area of investigation. To satisfy the different daily behavior on particular days, two types of days are distinguished in this paper. Moreover, keyword-adjusted data is used to point out the potential of semantic tweet analysis in following steps. The consideration of spatial event descriptions in relevant tweets could significantly improve and accelerate the perception of a disaster. The results from the conducted tests demonstrate the capability of the functional model to detect events with significant social impact in Twitter data.
Address
Karlsruhe Institute of Technology (KIT), Germany
Corporate Author
Thesis
Publisher
Karlsruher Institut fur Technologie
Place of Publication
KIT; Baden-Baden
Editor
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9783923704804
Medium
Track
Social Media
Expedition
Conference
10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
452
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