Emotion Classification

Emotion classification is the task of identifying and categorizing emotions, aiming to classify the emotional features of the input into corresponding categories, including neutral or no emotion and other multiple emotional states. This task involves analyzing multi-modal information such as facial expressions and speech to accurately reflect the psychological state of the subject. Emotion classification has significant application value in fields like human-computer interaction, mental health assessment, and affective computing, with common evaluation metrics including the Concordance Correlation Coefficient (CCC) and Mean Squared Error (MSE).