Cyber Times International Journal of Technology & Management

It is impossible to deny the blooming popularity of social networking websites because these sites provide a great degree of user intercommunication, social networking and content sharing. These free as well as easy to use cloud based applications provide users and companies a constant stream of valuable communication. With all the hype that surrounds social networking sites this area seems to be perfect platform for extensive data mining, development and research. The content that is generated from the social media used by millions of people on daily basis, if tapped can be used to predict real world outcomes. There is a fair amount of useful information that if recovered and interpreted intelligently can lead to a lot of constructive results. We show that how a simple model based on the rate of creation of positive and negative tweets about smart phones can be utilized to forecast the consumption behavior of smart phones.