📰 This project focuses on the classification of fake news articles. The goal is to develop a machine learning model that can accurately identify whether a given news article is fake or real. By leveraging the power of natural language processing and machine learning techniques, we aim to create a robust and reliable classification system.
The datasets used for this project can be found on Kaggle: Fake News Classification Dataset. WELLFake news classification. It contains a collection of news articles labeled as either fake or real. This dataset will serve as the foundation for training and evaluating our classification model.
By analyzing the textual content and various features of news articles, we will employ techniques such as...