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This systematic literature review analyzes Twitter sentiment regarding monkeypox, highlighting the importance of public sentiment in managing health crises. The review identifies common algorithms, data collection methods, and preprocessing techniques used in sentiment analysis, revealing a shift towards hybrid and transformer-based models like BERT. Despite advancements, the study emphasizes the need for improved accuracy and interpretability in sentiment analysis for effective public health monitoring.
- Author
- hazel chamboko
- Language
- EN