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CrisisDPS: Crisis Data Processing Services
Firoj Alam
author
Ferda Ofli
author
Muhammad Imran
author
2019
Iscram
Valencia, Spain
English
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.
Social media
humanitarian data processing
text classification
application programming interfaces
data processing services
exported from refbase (http://idl.iscram.org/show.php?record=1891), last updated on Fri, 22 Nov 2019 11:54:40 +0100
text
http://idl.iscram.org/files/firojalam/2019/1891_FirojAlam_etal2019.pdf
FirojAlam_etal2019
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management
Iscram 2019
Franco
Z
editor
González
J
J
editor
Canós
J
H
editor
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
2019
Iscram
Valencia, Spain
conference publication
978-84-09-10498-7
2411-3387
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