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Author Axel Schulz; Tung Dang Thanh; Heiko Paulheim; Immanuel Schweizer
Title (up) A fine-grained sentiment analysis approach for detecting crisis related microposts 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 846-851
Keywords Artificial intelligence; Information systems; Learning systems; Risk management; Social networking (online); Amount of information; Emergency management; Microposts; Real-time information; Sentiment analysis; Situational awareness; Systematic evaluation; Twitter; Data mining
Abstract Real-time information from microposts like Twitter is useful for applications in the crisis management domain. Currently, that potentially valuable information remains mostly unused by the command staff, mainly because the sheer amount of information cannot be handled efficiently. Sentiment analysis has been shown as an effective tool to detect microposts (such as tweets) that contribute to situational awareness. However, current approaches only focus on two or three emotion classes. But using only tweets with negative emotions for crisis management is not always sufficient. The amount of remaining information is still not manageable or most of the tweets are irrelevant. Thus, a more fine-grained differentiation is needed to identify relevant microposts. In this paper, we show the systematic evaluation of an approach for sentiment analysis on microposts that allows detecting seven emotion classes. A preliminary evaluation of our approach in a crisis related scenario demonstrates the applicability and usefulness.
Address Technische Universität Darmstadt, Germany; Universität Mannheim, 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 927
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Author Tim A. Majchrzak; Oliver Schmitt
Title (up) Improving epidemiology research with patient registries based on advanced web technology Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords Information systems; Amount of information; Crisis management; Electronic data; Electronic health record; Patient registry; Performance requirements; Registry; Required functionalities; Diseases
Abstract To store patients' medical histories and to exchange them between physicians, patient registries are used. Registries contain detailed data on patients and their treatments, and may comprise additional documents. This makes them very valuable for epidemiological research due to the amount of information contained. Providing data for research requires anonymization and pseudonymization to address privacy laws and security concerns. To be able to give feedback to physicians e.g. about discovered treatment possibilities, advanced pseudonymization has to be used. We present progress in the development of patient registries and the required functionality to support research. Usability, explicability, and performance requirements are addressed by incorporating Web technology. Our findings include ways to develop patient registries as well as the description of mechanisms built into them. In particular, we show applications to and implications for crisis management. © 2012 ISCRAM.
Address Department of Information Systems, University of Münster, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Planning and Foresight Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 162
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