Antispammer for Mobile Messages
Sakshi Agarwal, Sanmeet Kaur, Sunita Garhwal · 2015
SMS spams are dramatically increasing year by year due to the growth of mobile phone users around the world. Recent reports have clearly indicated the same. Mobile or SMS spam is a physical and thriving problem due to the fact that bulk pre-pay SMS packages are conveniently available these days and SMS is considered as a trusted and personal service, so it gathers more response rate from the customers. SMS spam filtering is a comparatively recent errand to deal such a problem. It inherits many concerns and quick fixes from Email spam filtering. However it fronts its own certain issues and problems. This paper inspires to work on the task of filtering mobile messages as Ham or Spam. The paper analyses different machine learning classifiers on large corpus of SMS spam.