| # Crypto Sentiment Analyzer | |
| Fine-tuned BERT model for cryptocurrency sentiment analysis from social media, news, and forum posts. | |
| ## Model Details | |
| - **Base Model**: `bert-base-uncased` | |
| - **Task**: Text Classification (3 labels: NEGATIVE, POSITIVE, NEUTRAL) | |
| - **Training Data**: 50K crypto tweets + Reddit posts (2024-2025) | |
| - **Accuracy**: 92.3% on validation set | |
| ## Usage | |