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2025 SemEval SemEval 2025

UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News

Abstract

AbstractThis paper presents our participation in SemEval task 11, which consists of emotion recognition in sentences written in multiple languages. We use in-context learning and fine-tuning methods to teach LLMs how to predict labels for Track A, Track B and Track C. The best results depends on track and language predicted.

Authors

Aisha Aman - Parveen

Topics

Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Large Language Models Natural Language Processing > Applications > Sentiment Analysis

Keywords

multilingual nlp in-context learning emotion recognition emotion detection intensity prediction large language model multilingual emotion analysis
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