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This document presents a study on SMS spam detection, focusing on developing an automated system using Python and Machine Learning techniques, particularly the Naïve Bayes classifier, achieving over 97% accuracy. The study addresses the growing threat of SMS spam, which poses risks to user privacy and security, and outlines a systematic methodology for data preprocessing, feature extraction, and model training. The findings suggest that while Naïve Bayes is efficient for real-time applications, deep learnin

Author

rsiddaraju2005

Language

EN