Emotion triggers are not salient features in emotion prediction models, highlighting the need for further investigation.
This paper aims to enhance emotion detection in text by utilizing large language models, data augmentation, and transfer learning. The findings provide valuable insights into addressing challenges in emotion detection and suggest directions for future research.