Turkish TV Rating Prediction With Twitter

Abstract

Social Web Mining is a field that has attracted a lot of attention over the past few years. The dynamic human data, which grows in an incredible speed, has been used to predict a variety of things lie flu trends and political election results. In this project a system has been developed to predict the ratings of Turkish TV programs, using Twitter, a rich source of social data. This system has abilities like gathering and cleaning data, natural language processing, machine learning and prediction.