Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).
The project aims at classifying the given news articles as fake or true based on the content and users associated with it using Graph Attention Networks (GATs).
Technology used: Google BERT, Graph Attention Network (GAT), Python, Pandas, NumPy, scikit-learn, Tensorflow