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Fake News Prediction: A Survey

Journal: International Journal of Scientific Engineering and Science (Vol.3, No. 3)

Publication Date:

Authors : ;

Page : 1-3

Keywords : Fake news Detection: Logistic Regreesion: Naïve Bayes Classifier: TD-IDF Vectorisation.;

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Abstract

Fake news generally defined as misleading news often constructed with an aim to create a sense of belief and to mislead people to believe a particular incident. Fake news gets its massive wings through social involvement. We aim to design a system which would probably use concepts like Natural Language Processing (NLP), Data Mining and Machine Learning and prediction classifiers like the Naïve Bayes Classifier and Logistic regression classifier which will predict the truthfulness or fakeness of an article.

Last modified: 2019-04-26 21:00:58