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AI-Based Fake News Detection Project by RAVIKRINDI SWATHI is a document available to read on EtoBox.

What is AI-Based Fake News Detection Project about?

This document summarizes a project on fake news detection using machine learning algorithms. The authors collected over 125,000 news articles, including 15,600 fake articles. They used techniques like web crawling and text preprocessing to build a dataset. Random Forests with term frequency-inverse document frequency (tf-idf) features achieved the best results among algorithms tested, including Support Vector Machines and Logistic Regression. The project aims to classify news as real or fake using machine l

Author

RAVIKRINDI SWATHI

Language

EN