Sentiment Analysis BERT

Problem

Need to classify customer sentiment at scale with high accuracy. Traditional ML methods (TF-IDF, SVM) couldn't capture nuance in natural language.

Solution

Fine-tuned BERT model on domain-specific data with proper preprocessing, tokenization, and multi-metric evaluation (precision, recall, F1)

Results

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