An Efficient Spam Classification Filter as a Naive Bayes Classifier Web Application
Suraj Sharma, Ratnesh Kumar Dubey, Aravendra Kumar Sharma, Shashikant Gupta, Nidhi Dandotiya · 2024
Owing to the widespread expansion of internet users, email has emerged as a vital means of exchanging information worldwide, both personally and professionally, as it is a suitable and affordable means of doing so. It is probably mistreated or abused, though. One instance of this is the spam email, also known as non-legitimate email, which is distributed randomly to a large number of recipients and contains irrelevant content. Thus, Computer security has long been concerned about spam emails. They pose a serious risk to the computer network and computer users alike. The necessity for automatic email management systems, such as email filters that can distinguish between valid and spam emails, phishing email classifiers, and folder grouping, has expanded along with the exponential growth in the usage of email in business communication. We devised a resolution for this problem: an online application that uses the Naive Bayes classification method to separate incoming messages into spam and ham categories.