Abstract:
The use of mobile phones has skyrocketed during the last decade hence it has generated bulk of junk messages. However, emerging machine learning algorithms are one such solutions which are used to detect and filter spam messages recently. Naïve Bayes is a powerful yet simple classification machine learning algorithm which used in predictive modelling. Thus, Naïve Bayes categorize as four forms of its implementations; however, Multinomial Naïve Bayes is used in this study.
Reference this Research Paper (copy & paste below code):
A. S. Thanuja Nishadi
(2019); Text Analysis: Naïve Bayes Algorithm using Python JupyterLab; International Journal of Scientific and Research Publications (IJSRP)
9(11) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.11.2019.p9515