Overview
Developed a Python script to scrape CNN headlines and identify emerging news trends using natural language processing and machine learning.
A TF-IDF model paired with logistic regression was used for classification, achieving 79% accuracy. Statistical analysis was performed in MATLAB to validate results.
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Technical Details
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Challenges & Learnings
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