Emotion Classification

Emotion classification is the process of automatically identifying and categorizing human emotions from data such as text, speech, or images. It involves analyzing cues like words, tone of voice, facial expressions, or body language to determine feelings like happiness, sadness, anger, or fear. This technology helps understand human responses better, enabling applications like improving customer service, enhancing mental health support, or creating more empathetic virtual assistants. Essentially, it transforms complex emotional signals into recognizable categories, allowing machines to interpret and respond to human emotions more effectively.