Identification of medical resource tweets using Majority Voting-based Ensemble during disaster

AdaBoost · Data mining · Ensemble learning · Machine learning · Majority rule · Random forest · Random subspace method · Support vector machine · Voting · Computer Science · Data-Driven Disease Surveillance · Misinformation and Its Impacts · Public Relations and Crisis Communication · Artificial Intelligence

• Time series sentiment analysis (SA) of relief operations using social media (SM) platform for efficient resource management

  Open Access•Gurman Bhullar, Aseem Khullar et al.•International Journal of Disaster…•2022

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• A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management

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• Utilizing microblogs for optimized real-time resource allocation in post-disaster scenarios

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• Ensemble Methods in Machine Learning

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• Bagging Predictors

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• Greedy function approximation

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• Random Forests

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• Emotional Valence Shifts and User Behavior on Twitter, Facebook, and YouTube

  Open Access•Ema Kušen, Mark Strembeck et al.•Influence and Behavior Analysis…•2019

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• Precise Modeling Rumor Propagation and Control Strategy on Social Networks

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• Emergency-relief coordination on social media

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• Ranking and grouping social media requests for emergency services using serviceability model

  Open Access•Hemant Purohit, Carlos Castillo et al.•Social Network Analysis and Mining•2020

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• Disaster damage assessment from the tweets using the combination of statistical features and informative words

  Open Access•Sreenivasulu Madichetty, M Sridevi et al.•Social Network Analysis and Mining•2019

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• Mining social media to inform peatland fire and haze disaster management

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• The social role of social media

  Open Access•Mayank Yadav, Zillur Rahman•Social Network Analysis and Mining•2016

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