A survey of comparative study of detection of spam in machine learning
A. Adisvara, Saad Ahmed Akash, B. Jayanesh, J Keerthika, T. Arul Prakash · AIP conference proceedings · 2024
A spam detection is a method which is used for finding scrap, possible virus infected and undesirable and to avert mails before reaching the applicant's mailbox.Similar to former cases of sifting projects, a spam sifter is on the look out for distinct norms to make a decision.Already some of the ML algorithms have been used for spam detection.Stemmer with count_vectorizer, Lemmatizer with count_vectorizer, poterstremmer with TFldf_vectorizer etc.They all have succeeded in spam detection but it can improve the time taken for the process.So we are going to tri-spam classifying using naive bayes classifier which will bring as accuracy of 94%.