Fake News Classification using Naive Bayes.
-
Updated
Jul 20, 2023 - Jupyter Notebook
Fake News Classification using Naive Bayes.
This repository contains code for evaluating different machine learning models for classifying fake news. The dataset used for this evaluation consists of labeled news articles as either "REAL" or "FAKE". Three popular classifiers, Support Vector Machine (SVM), Decision Tree, and Logistic Regression, are trained and evaluated on this dataset.
This repo has the code to make a fake news detector
Add a description, image, and links to the fakenewsdataset topic page so that developers can more easily learn about it.
To associate your repository with the fakenewsdataset topic, visit your repo's landing page and select "manage topics."