Ensemble Methods

Emotion Recognition in Natural Language Processing involves analyzing speech patterns, tone, pitch, and vocal features to detect and interpret human emotions. This technology enables systems to understand feelings such as happiness, anger, or sadness, enhancing human-computer interactions. It is widely used in customer service, mental health monitoring, and adaptive AI applications to create more empathetic and responsive experiences.