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In October 2023, the Constitutional Court's decision on age limit requirements for presidential and vice-presidential candidates stirred controversy, perceived as favoring a specific vice-presidential candidate.Public reactions flooded social media platforms, particularly on Najwa Shihab's YouTube channel, where sentiment analysis was conducted on 505 comments under the video titled "Putusan MK: Publik memang Seharusnya Marah" (Constitutional Court Decision: The Public Should Indeed Be Angry).The comments were categorized into three sentiment classes: 425 negative, 42 neutral, and 38 positive.The study employed Multi-Layer Perceptron (MLP) models tested on imbalanced and balanced data using the SMOTE oversampling technique.Two feature extraction methods, TF-IDF weighting and countvectorizer, were applied.Results showed that combining TF-IDF with balanced data yielded the most effective classification model, boasting a remarkable accuracy, precision, recall, and F1-score, each at 99%.
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Sasmita et al. (2024) studied this question.
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