An Effective Spam and ham word Classification Using Naïve Bayes Classifier
Heena Tamboli, Sambhaji Sarode · International Journal of Scientific and Research Publications · 2021
Email is a popular way for individuals on the Internet to communicate.The Number of emails received and sent has increased due to huge growth of internet users.Emails are used for many purposes like in business, colleges, marketing, for job searching, for chatting purpose, for internships and many more.It is used for personal or in business for sharing information.Spam emails are unwanted emails or junk emails.Spam emails are become a big problem on Internet and it may causes problem in computer security.So they are very risky for networks and computers.As the use increased of emails there need to secure computers as well as networks from spam emails.So we implement this model by using Naïve Bayes classification Algorithm for classify spam and ham emails.In which we filter emails into ham and spam emails and find its performance by calculating its accuracy.