A PyTorch implementation of the paper "CSI: a hybrid deep neural network for fake news detection"
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

README.md 773B

2 years ago
12345678910111213
  1. # CSI-Code
  2. This project is a pytorch implementation of the paper [CSI: A Hybrid Deep Model for Fake News Detection"](https://dl.acm.org/citation.cfm?id=3132877)
  3. Several modifications have been made on the [original code](https://github.com/sungyongs/CSI-Code) including:
  4. - minor bugs were fixed
  5. - code is cleaner, standard, organized, and more understandable
  6. - the main model is reimplemented using Pytorch and Pytorch_lightning
  7. - training is integrated with Ray Tune for the sake of hyperparameter tuning
  8. ## Getting started
  9. 1. First, use the [data preprocessing notebook]() to prepare your data for the model. You should apply the code for different splits separately.
  10. 2. Then, use the [train notebook]() to train your model and see the results.