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What is Fake News Detection Using Naive Bayes Classifier about?

The paper discusses the rise of fake news due to digitalization and presents a model for detecting fake news using machine learning techniques, particularly the Naive Bayes classifier. The study compares the accuracy of various methodologies, including Naive Bayes, Support Vector Machine (SVM), and LSTM, achieving an accuracy of up to 93.6%. The research emphasizes the importance of addressing fake news to prevent misinformation and its societal impacts.

Author

Roshan Pandey

Language

EN