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Fake-News-Classifier-using-bidirectional-LSTM

I built this project as a proof-of-concept fake news classifier using a bidirectional LSTM model. The classifier is trained on an unreliable Trump articles dataset from Kaggle to detect potential fake news.

To get started, download the dataset from Kaggle Fake News Competition and follow the instructions in the notebook.

This project is still a work in progress, and I plan to refine and update it further soon. Contributions, suggestions, or bug reports are welcome!

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An approach on classifying news as true or untrue using bidirectional LSTM model architecture.

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