SMS Spam Classifier Using Machine Learning

The purpose of this research paper is to examine how machine learning techniques are used to identify whether a SMS is spam or not. The growth of mobile users has led to a dramatic increase in SMS and messages. Despite the fact that our idea of information channels are currently seen as spotless and reliable in many parts of the world on going data clearly demonstrates that the amount of cell phones Spam is dramatically increasing overtime. It is a growing catastrophe, especially in the middle East and Asia. Separating SMS spam is a similarly lead task to solve this problem. It games several concerns and practical fixes from SMS spam separation in any case, it brings up it's own unique problems