Two-stage Bengali sentiment classification: domain adaptation through continual learning and parameter-efficient fine-tuning
Understanding sentiment in low-resource languages remains a key challenge for Natural Language Processing (NLP), particularly when domain-specific data is scarce. In this work, we present SentiBanglaBERT, a two-stage Bengali sentiment classification framework combining domain-adaptive continual...
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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
IEEE
2026
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/127235/7/127235_Two-stage%20Bengali%20sentiment.pdf http://irep.iium.edu.my/127235/ https://ieeexplore.ieee.org/document/11320544 |
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