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Built a hybrid sentiment model using BERT-based augmentation, transformer embeddings, ensemble learners, and a CNN-BiGRU-Attention network. Reached 91.15% accuracy on Amazon reviews via stacking and Optuna hyperparameter tuning. Used contextual augmentation, mpnet embeddings, and SMOTE to improve class balance and data quality
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