Wiwit Agus Triyanto

Sentiment Analysis of Indonesian Mobile Legends: Bang Bang Reviews Using Random Forest, KNN, TF-IDF, and SMOTE

The ablation study demonstrates that the effectiveness of SMOTE is model-dependent, improving Random Forest but degrading KNN performance, and provides empirical evidence of SMOTE impact on different classifiers and employs cross-validation-based K selection to prevent test data leakage.