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Fake News Detection with NLP Techniques by dineshkatoonpur is a document available to read on EtoBox.
What is Fake News Detection with NLP Techniques about?
This research focuses on developing machine learning models for fake news detection using natural language processing, evaluating KNN, Naive Bayes, Random Forest, and SVM classifiers on raw and preprocessed news content. The study finds that preprocessing significantly enhances classification accuracy, with Random Forest achieving the highest F1-score of 89%. The findings emphasize the importance of text normalization and feature extraction techniques in creating effective automated fact-checking systems.
- Author
- dineshkatoonpur
- Language
- EN