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🧠 BiasLens

Detect political bias in news headlines using Machine Learning & NLP


🚀 Overview

BiasLens classifies news headlines based on political bias, helping users identify hidden ideological leanings.


🌍 Dataset

  • India 🇮🇳
  • Bangladesh 🇧🇩
  • Indonesia 🇮🇩
  • USA 🇺🇸

⚙️ Tech Stack

  • Python
  • Pandas, NumPy
  • Scikit-learn (LinearSVC, TF-IDF)
  • Matplotlib, Seaborn

🔍 Workflow

  1. Preprocess headlines
  2. TF-IDF vectorization
  3. Train LinearSVC model
  4. Predict & evaluate

📊 Output

BiasLens Demo


💡 Future Scope

  • Deep Learning (BERT, LSTM)
  • Real-time news analysis
  • Web/App integration

👨‍💻 Author

Gautham Bala
GitHub: thefallenmaster


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BiasLens is a machine learning project that detects political bias in news headlines using NLP techniques like TF-IDF and LinearSVC, helping users identify hidden ideological leanings quickly and effectively.

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