Paper Key : IRJ************876
Author: Prajwal Krushnat Sarnobat
Date Published: 07 Jun 2023
Abstract
Fake news is pervasive on social media and in other forms of media, and it is a serious worry since it has the potential to devastate society and the country. On finding it, a lot of research has already been done. This analyses the research on fake news detection and investigates the best traditional machine learning models in order to build a model of a product with supervised machine learning algorithm that can categories fake news as genuine or false. Features will be extracted as a result of this approach. As this library includes practical methods like Count Vectorizer and Tiff Vectorizer, we suggest utilizing Python to carry out tokenization and feature extraction of text data.
DOI LINK : 10.56726/IRJMETS41309 https://www.doi.org/10.56726/IRJMETS41309