Conference Paper2023Cited by 3

Aambela at BLP-2023 Task 2: Enhancing BanglaBERT Performance for Bangla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation

Md Fahim

Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

Association for Computational Linguistics, pp. 317-323

DOI: 10.18653/v1/2023.banglalp-1.42Open AccessURL

Abstract

This paper introduces the top-performing approachof “Aambela” for the BLP-2023 Task2: “Sentiment Analysis of Bangla Social MediaPosts”. The objective of the task was tocreate systems capable of automatically detectingsentiment in Bangla text from diverse socialmedia posts. My approach comprised finetuninga Bangla Language Model with threedistinct classification heads. To enhance performance,we employed two robust text classificationtechniques. To arrive at a final prediction,we employed a mode-based ensemble approachof various predictions from different models,which ultimately resulted in the 1st place in thecompetition.

Keywords

  • BanglaBERT
  • social media posts
  • Ensemble learning

CCDS Authors

MD Fahim
Md Fahim

MD Fahim

  • Research Assistant, CCDS

Published at

ACL, EMNLP, ECAI, WACV, LREC, ICPR, BEA, BLP, Information Sciences, Smart Agricultural Technology

Research Interests

Machine Learning, Natural Language Processing

References

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  6. 6.Wu, Dongxian, Xia, Shu-tao, Wang, Yisen. (2020). Adversarial Weight Perturbation Helps Robust Generalization. arXiv (Cornell University)[10.48550/arxiv.2004.05884]
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Cited By

  1. 1.Md. Arid Hasan, Firoj Alam, Anika Anjum, Shudipta Das, Afiyat Anjum. (2023). BLP-2023 Task 2: Sentiment Analysis. , 354–364[10.18653/v1/2023.banglalp-1.48]
  2. 2.Sovon Chakraborty, Protiva Das, Shakib Mahmud Dipto, Md. Aktaruzzaman Pramanik, Jannatun Noor. (2025). An Analytical Review of Preprocessing Techniques in Bengali Natural Language Processing. IEEE Access, 13, 112428–112445[10.1109/access.2025.3574234]
  3. 3.Farhan Noor Dehan, Md Fahim, A. K. M. Mahabubur Rahman, M. Ashraful Amin, Amin Ahsan Ali. (2024). TinyLLM Efficacy in Low-Resource Language: An Experiment on Bangla Text Classification Task. Lecture notes in computer science, 472–487[10.1007/978-3-031-78495-8_30]
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