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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|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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