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    <abstract>Emotion detection is essential for applications like mental health monitoring and social media analysis, yet remains underexplored for Indian languages. This paper presents our system for SemEval-2025 Task 11 (Track A), focusing on multilabel emotion detection in Hindi and Marathi, two widely spoken Indian languages. We fine-tune IndicBERT v2 on the BRIGHTER dataset, achieving F1 scores of 87.37 (Hindi) and 88.32 (Marathi), outperforming baseline models. Our results highlight the effectiveness of fine-tuning a language-specific pretrained model for emotion detection, contributing to advancements in multilingual NLP research.</abstract>
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%0 Conference Proceedings
%T indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages
%A Kumar, Saurabh
%A Kumar, Sujit
%A Singh, Sanasam Ranbir
%A Nandi, Sukumar
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F kumar-etal-2025-indidataminer
%X Emotion detection is essential for applications like mental health monitoring and social media analysis, yet remains underexplored for Indian languages. This paper presents our system for SemEval-2025 Task 11 (Track A), focusing on multilabel emotion detection in Hindi and Marathi, two widely spoken Indian languages. We fine-tune IndicBERT v2 on the BRIGHTER dataset, achieving F1 scores of 87.37 (Hindi) and 88.32 (Marathi), outperforming baseline models. Our results highlight the effectiveness of fine-tuning a language-specific pretrained model for emotion detection, contributing to advancements in multilingual NLP research.
%U https://aclanthology.org/2025.semeval-1.262/
%P 2020-2027

Markdown (Informal)

[indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages](https://aclanthology.org/2025.semeval-1.262/) (Kumar et al., SemEval 2025)

• indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages (Kumar et al., SemEval 2025)

ACL

• Saurabh Kumar, Sujit Kumar, Sanasam Ranbir Singh, and Sukumar Nandi. 2025. indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2020–2027, Vienna, Austria. Association for Computational Linguistics.