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Spam SMS Detection Using Naive Bayes Classifier

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-4 Issue-1
	Year of Publication : 2021
	Unique Identification Number : IJSRED-V4I1P54
	Authors : Vijay, Shubham Kumar
	: Click Here | DOI : https://doi.org/10.5281/zenodo.4505614

Abstract :

Spam SMS (Short Message Service) has become a problem for mobile phone users, nowadays. When mobile phone gets flooded with spam SMS then important and genuine messages can be skipped from the sight of users. User can be a victim of phishing and fraud because of spam SMS. Therefore, there is a need to separate spam SMS from genuine SMS. In this paper we have used Naive Bayes algorithm for detecting spam SMS. In this paper it is discussed how Naive Bayes algorithm is implemented on a data set for detecting spam SMS and its performance on detecting spam SMS on test data is also shown. Naive Bayes algorithm is a supervised machine learning algorithm.