A. Khudori

Lexicon-Based and Machine Learning Approaches for Sentiment Classification of Telemedicine Reviews in Indonesia

Comparing three imbalance-handling strategies showed that cost-sensitive learning (class-weight) was most effective, raising the neutral-class F1-score from 26.56% to 35.8% without compromising majority-class performance.