Detection of Spam E-mails with Machine Learning Methods

Karamollaoglu H., DOĞRU İ. A. , Dorterler M.

Innovations in Intelligent Systems and Applications Conference (ASYU), Adana, Turkey, 4 - 06 October 2018, pp.55-59 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/asyu.2018.8554014
  • City: Adana
  • Country: Turkey
  • Page Numbers: pp.55-59


E-mail communication is one of today's indispensable communication ways. The widespread use of e-mail has brought about some problems. The most important one of these problems are spam (unwanted) e-mails, often composed of advertisements or offensive content, sent without the recipient's request. In this study, it is aimed to analyze the content information of e-mails written in Turkish with the help of Naive Bayes Classifier and Vector Space Model from machine learning methods, to determine whether these e-mails are spam e-mails and classify them. Both methods are subjected to different evaluation criteria and their performances are compared.