The Pluralistic Nature of Emotion: Human and Machine Interpretations of Textual Emotional Content
Abstract
This paper explores the complex nature of emotion interpretation in text-based communication by comparing human and machine approaches to emotion detection. Human emotions, shaped by personal experiences and cultural backgrounds, reflect individuality, yet many detection systems overlook these nuances.
Fields of Study & Subjects
Emotion and Mood Recognition
Sentiment Analysis and Opinion Mining
Emotions and Moral Behavior
Publication details
- Journal / source
- Proceedings of the 31st International Conference on Intelligent User Interfaces
- Publisher
- ACM
- Pages
- 268–283
- Publication date
- 3 March 2026