Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

[HTML][HTML] Social media use in disaster recovery: A systematic literature review

RI Ogie, S James, A Moore, T Dilworth… - International Journal of …, 2022 - Elsevier
Studies on the role of social media in disaster management have so far focused mainly on
early phases of the disaster response process. Published evidence regarding the scope and …

Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

GA Ruz, PA Henríquez, A Mascareño - Future Generation Computer …, 2020 - Elsevier
Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

[HTML][HTML] Unpacking the influence of social media marketing activities on brand equity in the banking sector in Bangladesh: A moderated mediation analysis of brand …

M Hafez - International Journal of Information Management Data …, 2022 - Elsevier
The main purpose of this paper was to explore the effect of social media marketing activities
(SMMAs) on brand equity (BEQ) through a moderated mediation analysis of brand …

Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions

AC Ikegwu, HF Nweke, CV Anikwe, UR Alo… - Cluster …, 2022 - Springer
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

Disaster and pandemic management using machine learning: a survey

V Chamola, V Hassija, S Gupta, A Goyal… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …

A deep multi-modal neural network for informative Twitter content classification during emergencies

A Kumar, JP Singh, YK Dwivedi, NP Rana - Annals of Operations …, 2022 - Springer
People start posting tweets containing texts, images, and videos as soon as a disaster hits
an area. The analysis of these disaster-related tweet texts, images, and videos can help …

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 and disaster management: Case of the north and south Kivu regions in the Democratic Republic of the Congo

JK Kavota, JRK Kamdjoug, SF Wamba - International Journal of Information …, 2020 - Elsevier
Abstract North and South Kivu provinces in the Eastern part of the Democratic Republic of
the Congo (DRC) are still confronted by both natural and manmade disasters and are …

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 …