Chinese Spam Classification based on Deep Learning

Abstract

In the 21st century, it is an information age where individuals and organizations use computers to work and they commonly use email to chat with each other, share knowledge or their wishes or discuss business. However, in this context, spam is harassing our lives. Spam is a type of email that is delivered to lots of numbers of recipients without asking them for their wishes. Spam wastes our time reading useless messages and takes up our email addresses and network traffic. The problem of spam has become increasingly important and is growing over the years. The emergence of machine learning technology can simulate human intelligence. Use machine learning to identify the construct of pictures and words. Through this technology, this paper can classify the kind of different messages. Spam is very common nowadays; it can easily send lots of message to occupying a large amount of network bandwidth. Access such kind of messages, this article uses four models: Decision Tree, Support Vector Machine (SVM), Naive Bayes model, and Logistic Regression to identify spam to prevent it into our electronic mail.