[HTML][HTML] Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions

MSM Suhaimin, MHA Hijazi, EG Moung… - Journal of King Saud …, 2023 - Elsevier
The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …

Social media for enhanced understanding of disaster resilience during Hurricane Florence

F Yuan, M Li, R Liu, W Zhai, B Qi - International Journal of Information …, 2021 - Elsevier
Citizens with different demographic characters presented varying responses and behaviors
in the same disasters. Their divergent responses can impact their actual damages during …

Social media crowdsourcing for rapid damage assessment following a sudden-onset natural hazard event

L Li, M Bensi, Q Cui, GB Baecher, Y Huang - International Journal of …, 2021 - Elsevier
Rapid appraisal of damages related to hazard events is of importance to first responders,
government agencies, insurance industries, and other private and public organizations …

Exploring the potential of social media crowdsourcing for post-earthquake damage assessment

L Li, M Bensi, G Baecher - International Journal of Disaster Risk Reduction, 2023 - Elsevier
Following disaster events, a significant hindrance to emergency response is a lack of
information on the spatial extent and severity of damages. Social media crowdsourcing has …

Big Earth Data for quantitative measurement of community resilience: current challenges, progresses and future directions

Y Qiang, L Zou, H Cai - Big Earth Data, 2023 - Taylor & Francis
Quantitative assessment of community resilience can provide support for hazard mitigation,
disaster risk reduction, disaster relief, and long-term sustainable development. Traditional …

Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data

C Podesta, N Coleman, A Esmalian… - Journal of the …, 2021 - royalsocietypublishing.org
This research establishes a methodological framework for quantifying community resilience
based on fluctuations in a population's activity during a natural disaster. Visits to points-of …

Understanding the evolutions of public responses using social media: Hurricane Matthew case study

F Yuan, M Li, R Liu - International journal of disaster risk reduction, 2020 - Elsevier
Understanding timely evolutions of public responses during disasters can help crisis
response managers design and implement response strategies. Recent studies mainly …

Smart flood resilience: Harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness

F Yuan, C Fan, H Farahmand, N Coleman… - Environmental …, 2022 - iopscience.iop.org
Smart resilience is the beneficial result of the collision course of the fields of data science
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …

Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding

F Yuan, Y Xu, Q Li, A Mostafavi - Computers, Environment and Urban …, 2022 - Elsevier
The objective of this study is to predict the near-future flooding status of road segments
based on their own and adjacent road segments' current status through the use of deep …

Rapid assessment of disaster impacts on highways using social media

Y Chen, Q Wang, W Ji - Journal of Management in Engineering, 2020 - ascelibrary.org
A timely and reliable assessment of disaster impacts on highways is desired for executing
evacuations, providing emergency services, and planning relief and recovery activities in …