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BERTopic-VP is a virality-prioritised topic-modelling framework that combines clustering with a misinformation detection module to analyze health misinformation on Twitter, achieving high classification performance for COVID-19 and Monkeypox outbreaks.
This paper proposes an automated multilabel classification system for Mpox research articles using BERT, achieving 97% accuracy, and employs SHAP for explainability. The system aims to help researchers and healthcare workers quickly find relevant information.