Emotion Shift

Emotion shift, the dynamic change in emotional states over time, is a burgeoning research area focusing on accurately identifying and modeling these shifts within various contexts, particularly in conversations. Current research employs diverse approaches, including multimodal models that integrate text, audio, and visual data, and sophisticated algorithms like curriculum learning to improve emotion recognition accuracy. Understanding emotion dynamics holds significant implications for improving mental health assessment through linguistic analysis, enhancing human-computer interaction in applications like chatbots, and advancing speech synthesis technology with more nuanced emotional expression.