Predicting mobile subscriber’s behaviour from contextual information extraction: SMS data

Abstract

Mobile phones are the most significant way of communication in this era and SMS is the extensively used mobile service around the globe. This extensive use of SMS puts oil into fire of competition between different telecom companies. Only the one who manages to make subscribers believe “We care for you” can survive, obviously keeping company’s own benefits and profits in mind. This research paper presents a technique to effectively design and develop smart SMS packages by using contextual information of SMS data. It also deals with the prediction of multiple patterns about subscriber’s behaviour by using subscribers demographic and timing information.