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automated sentiment analysis pipelineor stock market-related text data. Financial news and social media chatter often correlate with market trends. By classifying these texts into **Positive (1)** or **Negative (0)** sentiments, investors can gauge the general mood of the market for specific assets.
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6
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Updated README with actual classification report from train.py
d8c342cView on GitHubAdd Model Evaluation & Selection section to README
240f2c2View on GitHubUpdate README with feature importance graph and license documentation
ce7b690View on GitHubAdd MIT License and update README documentation
5cf631aView on GitHubInitial commit with best practices audit improvements and feature importance analysis
30828a3View on GitHub