Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function

Muhammad Azeem Aslam, Wang Jun, Nisar Ahmed +5

In multi-label emotion classification, particularly for low-resource languages like Arabic, the challenges of class imbalance and label correlation hinder model performance, especi…