Predict Movie Revenue With Movie Meta-Data

Abstract

There is a substantial amount of money to be made or lost in predicting a movie’s success. Movie meta-data contains a wealth of features that can be mined in order to determine what attributes correlate with their success. These attributes include the director, the producer, cast, genre, budget, etc. These various attributes then result in differing revenue, ratings and reviews. In this paper, we obtain movie meta-data from The Movie Database(TMDB). We discuss the movie meta-data attributes with a focus on finding which attributes correlate with movie profit. The findings from the research can provide movie producers with information about what makes movies profitable.