Traditional Spam Detection

Traditional spam detection is a technology based on rule-based and statistical methods designed to identify and filter out spam emails and inappropriate content. It uses natural language processing techniques to analyze text features, combined with machine learning algorithms, to automatically detect emails, comments, and other communications through predefined classifier models. This method can effectively reduce the disturbance of unsolicited information to users, enhancing the security and user experience of information systems. It is widely applied in email systems, social media platforms, and online forums.