CRISISDPs: Crisis data processing services

Firoj Alam*, Muhammad Imran, Ferda Ofli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationISCRAM 2019 - Proceedings
Subtitle of host publication16th International Conference on Information Systems for Crisis Response and Management
EditorsZeno Franco, Jose J. Gonzalez, Jose H. Canos
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages719-733
Number of pages15
ISBN (Electronic)9788409104987
Publication statusPublished - 2019
Event16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019 - Valencia, Spain
Duration: 19 May 201922 May 2019

Publication series

NameProceedings of the International ISCRAM Conference
Volume2019-May
ISSN (Electronic)2411-3387

Conference

Conference16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019
Country/TerritorySpain
CityValencia
Period19/05/1922/05/19

Keywords

  • Application programming interfaces
  • Data processing services
  • Humanitarian data processing
  • Social media
  • Text classification

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