Machine Learning-Based Sentiment Classification of Reviews from Indonesian Mobile Applications Using TF-IDF
Comparisons of classical machine learning algorithms and the effectiveness of class-weighted learning in improving minority-class recognition in Indonesian mobile application reviews demonstrate that the highest overall accuracy does not necessarily indicate the most balanced classifier under class imbalance.