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This project aims to classify fake and real news and find fake news by using the Bidirectional LSTM deep learning model.

An accuracy of 99.23% was achieved even after training with a low epoch rate of 6 epochs. Information about the dataset can be examined from the jupyter notebook file.

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Fake News Detection with Bidirectional Lstm

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