Emotion Granularity

Emotion granularity refers to the ability to differentiate and label one's emotional experiences, with research showing a strong link between higher granularity and improved mental and physical well-being. Current research focuses on developing computational methods, often leveraging natural language processing techniques, to automatically assess emotion granularity from textual data like social media posts, offering a less biased alternative to self-report measures. This work has implications for understanding mental health conditions and for improving technologies like emotional voice conversion, where controlling the intensity of expressed emotion is a key challenge.