Box-office revenue estimation for telugu movie industry using predictive analytic techniques

Abstract

The film industry is a business cloud for millions in investment and its multiple in revenue. Story rights, production costs, cast remunerations, film promotions etc. charges the production companies. This makes movie analytics inevitably essential for the success of a film and survival of the industry. From the sources like IMDB and Wikipedia; movie related information such as title, budget, synopsis of the story, genre, cast, release date etc. were collected. Analytics were performed on the related data for predicting movie premier collection share, first day share, first week share and overall gross collection to pre-determine the success of the film. Traditional machine learning algorithms and natural language processing techniques were collectively applied to make predictions. These estimations may aid production companies to forecast the make or break chances of the film prior to its release.