Data Driven approach for analyzing news article polarization
sarthak25/NewsLens
Project NewsLens analyzes sentiment polarity from various news sources across topics based on past articles. This aggregated polarity highlights potential bias on specific topics. Users can explore articles, view sentiment, and receive alternative perspectives to form a more comprehensive opinion.
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