Nabarun Halder
- Research Assistant, CCDS
Research Interests
Machine Learning, Deep Learning, Natural Language Processing, Health Informatics, Human-Computer Interaction
Conference Paper2025Cited by 4
Emotion Recognition in Bangla Text: An Ensemble Approach with Data Augmentation using BanglaBERT and MultiBERT
Nabarun Halder, Armun Alam, Jahanggir Hossain Setu, Ashraful Islam, M. Ashraful Amin
2025 17th International Conference on Computer and Automation Engineering (ICCAE)
In: 2025 17th International Conference on Computer and Automation Engineering (ICCAE)
IEEE, pp. 6-11
Abstract
Recognizing emotions from text is challenging, but transformers have greatly improved Natural Language Processing (NLP), making emotion detection more accurate. In this study, we performed a multi-class classification to recognize human emotion from Bangla text by developing an ensemble model combining the strengths of two models, BanglaBERT and MultiBERT, thereby enhancing the classification performance. We addressed the class imbalance in the dataset by applying back-translation to the minority classes, doubling their size. We evaluated the ensemble model on original and augmented datasets, comparing its performance with individual models. Results show that the ensemble approach significantly improves performance. Without data augmentation, the ensemble model achieves an accuracy of 0.68, with macro precision, recall, and F1-scores of 0.65, 0.59, and 0.61, respectively. After applying back-translation, accuracy improves to 0.74, with macro precision, recall, and F1-scores rising to 0.74. Especially, the “Anger” and “Disgust” classes showed significant F1-score improvements, rising from 0.48 to 0.70 and 0.39 to 0.66.
Keywords
BengaliComputer scienceEmotion recognitionArtificial intelligenceNatural language processingSpeech recognitionPattern recognition (psychology)
CCDS Authors
Armun Alam
- Research Assistant, CCDS
Research Interests
Machine Learning
Ashraful Islam, PhD
- Center Director, CCDS
- Director, HCI Wing
Assistant Professor
Department of Computer Science and Engineering
Independent University, Bangladesh (IUB)Research Interests
Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact
M Ashraful Amin, PhD
- Founder Director, CCDS
- Director, AI/ML, HCI & DS Wings
Research Interests
Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics
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Cited By
- 1.Rabeya Islam Mumu, Tashfia Hossain, Oindrila Saha Badhan, MD Morshed Alam Lipson, Ms. Syeda Shabnam Hasan. (2025). Emotion Recognition in Bengali Text: A Computational Approach for Six Emotions. , 3998–4003[10.1109/iccit68739.2025.11491714]
- 2.Md Shohanur Rahman Shohan, Khondoker Muntahin Hassan Ankur, Md Nasit Jakoan, Md Farukuzzaman Khan, Md Ibrahim Abdullah, Md Habibur Rahman. (2025). RBEC: A Dataset for Emotion Detection in Resource-Constrained Bengali Language Using Optimized Transformers and Machine Learning Approaches. , 4891–4896[10.1109/iccit68739.2025.11491758]
- 3.MD. Tahidul Islam, Nakib Aman, Md. Abu Johab, Md. Sadikul Islam, Md. Roton Ahmed. (2025). Distinguishing Between Saint(Sadhu) and Common(Cholit): A Bangla BERT Approach to Bengali Language Classification. , 2157–2162[10.1109/iccit68739.2025.11490255]
- 4.Aminun Nahar, Md. Ezharul Islam. (2025). Dual-Task Learning with XLM-RoBERTa: A Unified Model for Bangla Emotion and Hate Speech Classification. , 5437–5442[10.1109/iccit68739.2025.11490401]