A Comparative Analysis of Machine Learning and Natural language processing for fake news  detection 

Project Description: The project "A Comparative analysis of Machine Learning and Natural Language Processing for fake news detection" attempts to address the rising problem of fake news and misinformation by using machine learning and natural language processing techniques to improve detection accuracy. This research project seeks to investigate different machine learning and natural language processing algorithms to find the best way for identifying between real and fake information in news articles. The purpose of this project is to promote a better informed and resilient society by improving the accuracy of fake news detection. The research attempt will result in a comparison matrix displayed on a user-friendly Google Site platform, providing people easy access to performance data analysis and detailed explanations of each technique's ability to detect fake news.