Identifying relevant information for emergency services from twitter in response to natural disaster

Paul, Avijit (2015) Identifying relevant information for emergency services from twitter in response to natural disaster. PhD thesis, Queensland University of Technology.


This project proposes a framework that identifies high‐value disaster-based information from social media to facilitate key decision-making processes during natural disasters. At present it is very difficult to differentiate between information that has a high degree of disaster relevance and information that has a low degree of disaster relevance. By digitally harvesting and categorising social media conversation streams automatically, this framework identifies highly disaster-relevant information that can be used by emergency services for intelligence gathering and decision-making.

Impact and interest:

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105 since deposited on 14 Dec 2015
105 in the past twelve months

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ID Code: 89220
Item Type: QUT Thesis (PhD)
Supervisor: Bruns, Axel, Tjondronegoro, Dian, & Zelenko, Oksana
Keywords: Social Media, Twitter, Emergency services, Computational Social Science, Big Data, Natural Language Processing
Divisions: Current > QUT Faculties and Divisions > Creative Industries Faculty
Institution: Queensland University of Technology
Deposited On: 14 Dec 2015 06:25
Last Modified: 14 Dec 2015 06:26

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