Movie Success and Rating Prediction Using Data Mining

Abstract

A large sum of money is invested annually in the production of several films. The primary objective of our study is to predict, using specific credits (both static and social/dynamic), if the film will be a true hit or a complete bust. There are a lot of set aspects that impact a movie's success or failure, such as the kind, budget, entertainers, chief, creator, creation home, delivery date, and so on. Looking at the film through the lens of online entertainment, we would search for dynamic hashtags that are now trending on Twitter. It is critical to find the attribute relationships and use an information mining calculation to get the result. To find out whether any movie is lucky or not, we apply all the information mining tools. This method is very helpful for those who build things. due to the fact that it gives them the opportunity to review films before to their release, which greatly influences their self-presentation and enhances their outcomes.