Performance Comparison of Machine Learning Classifiers for Fake News Detection

YEAR : 2022

Description

Information sharing on the web particularly via web based networking media is increasing. Fake information deliberately created is purposefully or unintentionally engendered over the internet. This is affecting a larger group of society who are blinded by technology. The project illustrates model and methodology to detect fake news from news article with the assistance of Machine learning algorithms

ADDITIONAL INFORMATION

System Requirements

Operating System : Windows 7,8,10 (64 bit)
Software : Python
Tools : Anaconda (Jupyter notebook and anaconda prompt)

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