Transformer-based sentiment analysis classification in natural language processing for Bahasa Melayu
Sentiment analysis in Bahasa Melayu leverages Natural Language Processing (NLP) to interpret opinions and emotional tone expressed in Malay texts. This research investigates the application of transformer-based deep learning models, Bidirectional Encoder Representations from Transformers (BERT), Dis...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29320/ |
| Abstract | Abstract here |