Merit Prize 2025/26 - Fake News Detection 🇵🇹

This repository contains the solution developed for the "Portuguese Fake News Detection" challenge. The goal is to build machine learning models to classify news articles as Fake or Real, employing Natural Language Processing (NLP) techniques, followed by interpretability analysis and unsupervised clustering.

Team:

• João Cruz (110713)
• Martim Claudino (109490) (*Note: Our group isn't the same as the HomeWorks groups. João belonged to group 95 and Martim to group 61.)

Repository Files

• notebook.ipynb: Main code.
• train.csv, val.csv, test.csv: Dataset files.
• requirements.txt: List of libraries needed.

Installation

1. Open your terminal in this folder.
2. Run the following command to install dependencies:

pip install -r requirements.txt