Application and Research of Spam Classification Based on Cluster Intelligence Algorithm to Optimize SVM
Zhennan Xia, Jianzhi Deng · Journal of Physics Conference Series · 2020
Abstract With the development of science and technology, the increasing popularity of the Internet, email has been widely used. Because of its convenience and low cost, e-mail has been used by more and more criminals to maliciously spread commercial advertisements, computer viruses and bad information. In order to resist spam, this paper proposes a spam classification method based on swarm intelligence algorithm optimized SVM. It classifies English spam and extracts features with special sensitive word coding. The model and method in this paper have certain reference value for spam classification research.