Emotions in Presidential Debates: A Deep-Learning Approach for Detecting Multimodal Affect

• In Event: Emotion and Political Communication

Brief Overview

This paper introduces a ground-breaking deep learning approach for emotion detection in televised debates by integrating a wide range of multimodal signals (e.g. body movement, facial expressions, acoustic features, speech content).

Author

• Yanru Jiang, University of California-Los Angeles