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Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises

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References

2005The partial area under the summary ROC curve240 cited
2016Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages239 cited
2014Tweedr: Mining twitter to inform disaster response.231 cited
2017Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks197 cited
2019Determining disaster severity through social media analysis: Testing the methodology with South East Queensland Flood tweets197 cited
2019Understanding communication dynamics on Twitter during natural disasters: A case study of Hurricane Sandy195 cited
2019Social media usage patterns during natural hazards121 cited

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2024Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash25 cited
2022Time series sentiment analysis (SA) of relief operations using social media (SM) platform for efficient resource management24 cited
2022A Multimodal Data Analysis Approach to Social Media during Natural Disasters

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24 cited

2024A review of deep learning techniques for disaster management in social media: trends and challenges14 cited

2024A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification12 cited

2022Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic10 cited

2022An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage10 cited

2025Extracting information from reddit for emergency management - A case study on British Columbia wildfire10 cited