AN ADULT SHORT MESSAGE RECOGNITION ALGORITHM BASED ON RESTRICTED CLOSE TEST OPTIMIZATION
The flooding of adult short message has become an urgent problem of safety of message content. Existing researches on short message filtering pay much attention to rubbish and advertising short messages, and the granularity of categorization were too coarse. With an analysis of the characteristics of adult short messages, and considering the effectiveness and real time performance of filtering algorithm, this paper proposes an adult short message discriminating algorithm based on adultism-degree computation, and a threshold selecting algorithm based on close test optimization. Experiments show that the proposed algorithm can effectively discriminate adult short message with a 94.4% correction rate, meanwhile it can meet the requirements of practical processing.
Content security Adult short message Content filtering Threshold selecting
QIN-DONG SUN XIN-BO HUANG JIU-LONG ZHANG
Network Computing and Security Tech.Key Lab.of Shaanxi Province, Xian University of Technology, Xi College of Electronics and Information, Xian Polytechnic University, Xian 710048, China Network Computing and Security Tech.Key Lab.of Shaanxi Province, Xian University of Technology, Xi
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
2492-2496
2008-07-12(万方平台首次上网日期,不代表论文的发表时间)