This research evaluates how accurately different large language models can identify emotions in text, with findings that significantly impact support applications.

• ChatGPT demonstrated superior performance in emotion detection tasks compared to other LLMs
• The study applied psychological emotion models through an interdisciplinary approach
• Researchers assessed multiple models' capabilities in understanding emotional context in textual interactions
• Findings suggest important implications for customer support systems where understanding user emotions is critical for appropriate responses

For support teams, this research offers insights into which AI models may better detect customer frustration, satisfaction, or confusion - enabling more empathetic automated responses and better routing of emotional communications.

"Only ChatGPT gets me": An Empirical Analysis of GPT versus other Large Language Models for Emotion Detection in Text