Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...
Abstract: In multi-label classification, label-specific feature learning strategies can capture discriminative attributes of different labels to enhance model performance. However, in realworld ...