International Journal Of Imaging

Abstract

Sentiment Analysis in AI/ML for Fake and True News Classification

Author: Ishika Grover

Abstract:

With the rise of false information on the internet, it's more important than ever to have strong systems to detect fake news. This study looks at how using Sentiment Analysis and Natural Language Processing (NLP) can help machine learning models do a better job of telling whether news is real or fake. By studying the feelings and writing style in news articles, these tools can boost the accuracy of traditional news-checking methods. Also, using Real- Time Processing means fake news can be spotted quickly, helping stop it from spreading. This approach shows that combining emotional analysis with smart machine learning can make online information more trustworthy and make News Analysis easier.