Presentation On Fake News Detection Using Machine Learning By Jai Patiye

Presentation On Fake News Detection Using Machine Learning Sinhagad institute of technology, lonavala. This document discusses using machine learning to detect fake news. it presents research done by students at pvg's college of engineering & technology on building models using naive bayes, logistic regression, decision tree, svm, and random forest classifiers. the decision tree model achieved the highest accuracy of 99.73%.

Full Stack Fake News Detection Using Machine Learning Final Year Fake news detection using machine learning a presentation by: anusha acharya 4sf15cs014 ashwitha jathan 4sf15cs027 deepa anchan 4sf15cs042 krithi dinesh kottary 4sf15cs063 abstract abstract mass media sources, specifically the news media, have traditionally informed us of. The project includes data analysis, model training, and a real time web application for detecting fake news. github abiek12 fake news detection using machinelearning: fake news detection using machine learning is a comprehensive project that utilizes machine learning and natural language processing techniques to identify and classify fake. This document discusses using machine learning techniques to detect fake news. it presents an architecture that extracts tf idf features from preprocessed news articles and trains classification models like knn and passive aggressive (pa) algorithms. the results show that as more training data is added, the pa classifier achieves higher accuracy than other models, reaching an accuracy of 99. Fake news detection using machine learning. june 2023. international journal of engineering applied sciences and technology 8 (2):280 283. doi: 10.33564 ijeast.2023.v08i02.042. authors: prakhar.

Fake News Detection Using Machine Learning Algorithm Ppt This document discusses using machine learning techniques to detect fake news. it presents an architecture that extracts tf idf features from preprocessed news articles and trains classification models like knn and passive aggressive (pa) algorithms. the results show that as more training data is added, the pa classifier achieves higher accuracy than other models, reaching an accuracy of 99. Fake news detection using machine learning. june 2023. international journal of engineering applied sciences and technology 8 (2):280 283. doi: 10.33564 ijeast.2023.v08i02.042. authors: prakhar. Describes a simple fake news detection method based. on one of the machine learning algorithms – naive. bayes classifier. the goal of the research is to. examine ho w naive bayes works for this. Fake news detection using machine learning. last updated : 26 oct, 2022. fake news on different platforms is spreading widely and is a matter of serious concern, as it causes social wars and permanent breakage of the bonds established among people. a lot of research is already going on focused on the classification of fake news.