VictimFinder: Harvesting rescue requests in disaster response from social media with BERT-Reference-Cited by-同舟云学术

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VictimFinder: Harvesting rescue requests in disaster response from social media with BERT

Published:2022-07 Issue: Volume:95 Page:101824
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Zhou Bing,Zou Lei,Mostafavi Ali,Lin Binbin,Yang Mingzheng,Gharaibeh Nasir,Cai Heng,Abedin Joynal,Mandal Debayan

Funder

National Science Foundation

Texas A and M University

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference51 articles.

1. Social sensing of floods in the UK;Arthur;PLoS One,2018

2. Earthquake emergency management by social sensing;Avvenuti,2014

3. An overview of sentiment analysis in social media and its applications in disaster relief;Beigi,2016

4. A neural probabilistic language model;Bengio;The Journal of Machine Learning Research,2003

5. Hurricane Harvey (no. AL092017; National Hurricane Center Tropical Cyclone Report);Blake,2018

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