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In this repository, we propose different machine learning and deep learning models for identification of fake news in online media.

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Sagnik07/Fake-News-Identification

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Fake News Detection (Team 18)

To Run (training):

  • Save the NELA-GT 2019 dataset in Google Drive
  • Run Experiments-jupyter/Fake-News.ipynb (change paths to match)

To Run (testing samples):

  • Install the requirements from streamlit/requirements.txt
  • Save the corresponding testing files from training as joblib files
  • Run 'streamlit run visualizer.py' (change paths if needed)

Best Performing Model: TF-IDF Vectors with SVM (90.6%)

Original Notebook links:

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In this repository, we propose different machine learning and deep learning models for identification of fake news in online media.

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