Logistic regression using TF-IDF features and three metadata attributes achieves 0.8028 accuracy, 0.8003 weighted F1, and 0.7276 macro F1 on three-class Indonesian sentiment classification from a 707-sample imbalanced dataset.
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Hybrid TF--IDF Logistic Regression and MLP Neural Baseline for Indonesian Three-Class Sentiment Analysis on Social Media Text
Logistic regression using TF-IDF features and three metadata attributes achieves 0.8028 accuracy, 0.8003 weighted F1, and 0.7276 macro F1 on three-class Indonesian sentiment classification from a 707-sample imbalanced dataset.