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Drug-Review-Analysis

1. Developed a sentiment analysis model for drug reviews using advanced NLP techniques and deep learning model BERT (Bidirectional Encoder Representations from Transformers), achieving an 80% accuracy rate.

2. Led the enhancement of data preparation protocols, deployed advanced tokenization methodologies, optimized input representations, and fine-tuned machine learning models, resulting in a 30% increase in model performance and a 15% reduction in training duration.

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