Public service applications such as SIGNAL facilitate the public in accessing information and making motor vehicle tax payments. However, the diversity of user reviews indicates the need to evaluate public perceptions through sentiment analysis. This study compares the performance of four classification algorithms Naïve Bayes, Random Forest, Decision Tree, and SVM in analyzing 36,000 user revi…