Opinion mining approach to evaluate and predict the television rating point of serials

Opinion mining has been used for tracking the mood of people about a particular product or service. It is being used as an important tool for judgment of most viewed programs on various channels. In present work, opinion mining has been used to find television rating point (TRP) of various serials on national channels. In this work, the dataset has been prepared by extracting the information from the historical records. Random tree classification technique has been applied for prediction of TRP of TV serials. Six major factors gender, age, qualification, marital status, occupation and area have been analyzed for prediction of TRP. WEKA tool has been used for classification and classification of the gathered data. The TRP of the channels has been predicted in terms of responses such as analysis, accuracy and predictor. The TRP of the serials has been calculated on the basis of opinion mining. On the basis of the results of the present work, it has been concluded that the TRP of the rating of serials is positive or negative