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Author Firoj Alam; Ferda Ofli; Muhammad Imran
Title CrisisDPS: Crisis Data Processing Services Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Social media, humanitarian data processing, text classification, application programming interfaces, data processing services
Abstract Over the last few years, extensive research has been conducted to develop technologies to support humanitarian aid

tasks. However, many technologies are still limited as they require both manual and automatic approaches, and

more importantly, are not ready to be integrated into the disaster response workflows. To tackle this limitation, we

develop automatic data processing services that are freely and publicly available, and made to be simple, efficient,

and accessible to non-experts. Our services take textual messages (e.g., tweets, Facebook posts, SMS) as input to

determine (i) which disaster type the message belongs to, (ii) whether it is informative or not, and (iii) what type of

humanitarian information it conveys. We built our services upon machine learning classifiers that are obtained from

large-scale comparative experiments utilizing both classical and deep learning algorithms. Our services outperform

state-of-the-art publicly available tools in terms of classification accuracy.
Address Qatar Computing Research Institute, Qatar
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1891
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