Fake News Detection using Machine Learning is a comprehensive project that utilizes machine learning and natural language processing techniques to identify and classify fake news …

Sep 10, 2024 · Disease prediction using machine learning is used in healthcare to provide accurate and early diagnosis based on patient symptoms. We can build predictive models that …

We've all heard about fake news over the past few years. This workshop will guide you through designing a relatively primitive fake news detector based on a modified version of the...

Jun 10, 2021 · This tutorial aims to clearly present (1) fake news detection problems, challenges, and research direction; (2) a comparison between fake news and other related concepts (e.g., …

This paper focuses on developing a machine learning model using Natural Language Processing techniques like TF-IDF feature extraction and passive aggressive classifier to detect the fake …

In this work, we propose a system for Fake news detection that uses machine learning techniques. We used term frequency-inverse document frequency (TF-IDF) of bag of words …

6 days ago · The rapid spread of misinformation on digital platforms has created a pressing need for effective automated solutions. This project presents a fake news detection framework using …

Oct 29, 2021 · Deep Learning models for Fake News Detection. For our study, we used four datasets. From our experimentation, we realized. outperformed the rest with an accuracy of …

1 day ago · Murti et al. 28 developed a machine learning-based fake news detection system using K-Nearest Neighbors (K-NN). Their model classifies fake news by comparing new texts to …

Mar 1, 2025 · To effectively identify fake news, we train six different machine learning and deep learning models: Naive Bayes, logistic regression, random forest, decision tree, neural …