Online Show Popularity Prediction

Abstract

Abstract

Reality show is the new mantra of television producers and channel executives. Online Show Popularity prediction using sentiment analysis is one of the most interesting tasks because of the “similar -but-tweaked-here-and-there” shows churned out by the competition. Nowadays number of productions and cost of production is very high due to which it become most important and challenging tasks to predict Online Show Popularity using some simple method over traditional one. These traditional methods are costly and consume time as well. Online Show producers and advertisers constantly seek ways to understand their target audience along various dimensions. This allows Online Show producers to understand certain aspects of the preferences of their viewers, gain valuable feedback and improve their shows. The accurate and timely prediction of program popularity is of great value for content providers, advertisers and broadcast operators. This information can be beneficial to evaluate the performance of the Online Shows and also calculate how many people like a particular show or actors of that show and predict popularity of those shows, based on the text reviews.