Enhancing Emotion Detection with Large Language Models and Data Augmentation

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.