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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

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