• Anuj Mourya
• Adarsh Arya
• Dr. Nidhi Saxena

A better mean of digital communications in the internet world is the spam email, which can sent to a group of individuals or a company. These spam emails causes a serious threat to the user. Another method of spamming is by creating a temporary email register which receive emails that can be deleted after some certain amount of time. This method is contemporary used for misusing those temporary email addresses for sending free spam emails without revealing spammers real account details. These attacks create major problems like lack of storage, etc. Hence it is important to introduce an efficient detection mechanism through extraction and classification which detect spam emails. This can be used through a novel NLP Algorithm which is based on Multinomial Naive Bayes approach. With its help the proposed approach will reduce the spam emails, method improves the accuracy of spam email filtering, as the use of NLP makes the system to detect Multinomial Naive Bayes approach uses multiple decision trees and uses a random node for filtering the spams.

Vectorization, Stop words, Tokenization, Adding Corpus

"ENHANCED TOOL FOR SPAM ANALYSIS: SPAM CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h324-h328, April-2022, Available :http://www.jetir.org/papers/JETIR2204741.pdf

"ENHANCED TOOL FOR SPAM ANALYSIS: SPAM CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph324-h328, April-2022, Available at : http://www.jetir.org/papers/JETIR2204741.pdf