Search results
Jun 27, 2021 · The document describes a fake news detection system that uses the Multinomial Naive Bayes algorithm to classify news articles as real or fake. It has two modules, User and Admin, that allow users to submit articles for detection and view results, and admins to manage the system.
Sep 27, 2023 · This document summarizes a project on detecting fake news using machine learning algorithms in Python. It discusses collecting a dataset from Kaggle, preprocessing the data by handling missing values and creating a "total" column.
Oct 8, 2019 · The document describes a project to detect fake news using machine learning models. It discusses how the project classified news websites as real or fake using a combination of bag-of-words, word embeddings and feature descriptions with 87.39% accuracy.
Jul 18, 2024 · Many scientists believe that fake news issue may be addressed by means of machine learning and artificial intelligence . Detection of such unrealistic news articles is possible by using various NLP techniques, Machine learning, and Artificial intelligence. 4.
This slide highlights a bogus news detection data science project. The purpose of this slide is to build a machine learning model for preventing people from adverse effects of fake news.
1 Fake News Detection - Social Article Fusion. FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization Kai Shu, Deepak Mahudeswaran, Huan Liu Arizona State University {kai.shu, dmahudes, Introduction Fake News Detection is an important problem because of its social impacts.
Powerpoint Templates and Google slides for Fake News Detection. Save Your Time and attract your audience with our fully editable PPT Templates and Slides. 37 Item (s) Slide 1 of 64. Fake News Detection Through Machine Learning ML CD.
