/FakeNewsClassifiers

Improved version of semester project at UdeM

Primary LanguagePython

FakeNewsClassifiers

From the Autumn 2019 Semester Project in IFT6390 (with Ioannis Mitliagkas) at UdeM.
This repository has been rewritten and improved after the project ended, to make it more usable and up-to-date.

Notes

This project implements 3 classifiers: NaiveBayes, Bi-LSTM and DistillBert.

The datasets must be downloaded and extracted in Datasets/ with one folder per dataset:

Collaborators in the semester project: Alexie Byrns, Jonathan Tremblay, T2o Orthlieb