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Deep learning based sentiment analysis system for game reviews using BERT model.
The project aims to build an AI-powered sentiment analysis system that classifies game reviews into Positive, Neutral, or Negative categories using deep learning techniques. We fine-tuned the BERT model to achieve high accuracy and robust performance.
Existing models struggled with sarcastic reviews, contextual understanding, and domain-specific language in gaming reviews. We needed a solution that provides high accuracy and real-time insights.
We fine-tuned the BERT model on a large dataset of game reviews and built an interactive dashboard for visualization and insights.
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