A Comprehensive Analysis of Machine Learning Algorithms for Email Spam Detection
摘要
Email spam has grown significantly in recent years along with the rapid growth of Internet users. This study uses a variety of machine learning algorithms to examine the state of spam detection. The goal of this study is to give an in-depth analysis of the latest methodologies and techniques used in the field of spam detection, as well as their strengths and weaknesses.