Identifying relevant information for emergency services from twitter in response to natural disaster
Data(s) |
2015
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/89220/1/Avijit_Paul_Thesis.pdf Paul, Avijit (2015) Identifying relevant information for emergency services from twitter in response to natural disaster. PhD thesis, Queensland University of Technology. |
Fonte |
Creative Industries Faculty |
Palavras-Chave | #Social Media #Twitter #Emergency services #Computational Social Science #Big Data #Natural Language Processing |
Tipo |
Thesis |