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arXiv · 2410.15974

Large Language Models for Cross-lingual Emotion Detection

Ram Mohan Rao Kadiyala
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Abstract

This paper presents a detailed system description of our entry for the WASSA 2024 Task 2, focused on cross-lingual emotion detection. We utilized a combination of large language models (LLMs) and their ensembles to effectively understand and categorize emotions across different languages. Our approach not only outperformed other submissions with a large margin, but also demonstrated the strength of integrating multiple models to enhance performance. Additionally, We conducted a thorough comparison of the benefits and limitations of each model used. An error analysis is included along with suggested areas for future improvement. This paper aims to offer a clear and comprehensive understanding of advanced techniques in emotion detection, making it accessible even to those new to the field.

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Ram Mohan Rao Kadiyala. 2024-10-21. Large Language Models for Cross-lingual Emotion Detection. https://arxiv.org/abs/2410.15974

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