Similarity-based emergency event detection in social media
Open Access
- 28 November 2020
- journal article
- research article
- Published by Elsevier BV in Journal of Safety Science and Resilience
- Vol. 2 (1), 11-19
- https://doi.org/10.1016/j.jnlssr.2020.11.003
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case studyInternational Journal of Remote Sensing, 2015
- A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media MessagesPublished by Association for Computing Machinery (ACM) ,2015
- Using social media data to understand and assess disastersNatural Hazards, 2014
- AIDRPublished by Association for Computing Machinery (ACM) ,2014
- A Survey of Techniques for Event Detection in TwitterComputational Intelligence, 2013
- TEDAS: A Twitter-based Event Detection and Analysis SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Class-imbalanced classifiers for high-dimensional dataBriefings in Bioinformatics, 2012
- Twitter for crisis communication: lessons learned from Japan's tsunami disasterInternational Journal of Web Based Communities, 2011
- Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 OutbreakPLOS ONE, 2010
- Mapping Change in Large NetworksPLOS ONE, 2010