Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment
Author:
Affiliation:
1. Department of Geoinformatics – Z_GIS, University of Salzburg, Austria
2. Center for Geographic Analysis, Harvard University, Cambridge, MA, USA
Funder
Horizon 2020
Publisher
Informa UK Limited
Subject
Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/15230406.2017.1356242
Reference35 articles.
1. Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti
2. Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples
3. Crisis Mapping During Natural Disasters via Text Analysis of Social Media Messages
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