Mobile SMS Spam Filtering for Nepali Text Using Naïve Bayesian and Support Vector Machine

• 作 者: Tej Bahadur Shahi Abhimanu Yad
• 机 构: CentralDepartmentofComputerScienceandInformationTechnology
• 出 处: 智能科学国际期刊(英文)
• 发表日期: 2014年1期
• 关键词: SMS SPAM FILTERING Classification Support Vector Machine Na?ve BAYES PREPROCESSI

Spam is a universal problem with which everyone is familiar. A number of approaches are used for Spam filtering. The most common filtering technique is content-based filtering which uses the actual text of message to determine whether it is Spam or not. T