Prediction of movie box office success using YouTube trailer comments and wikipedia data

Abstract

The movie industry is one of the most highly competitive and profitable businesses in the entertainment world, where predicting a movie’s success or failure of a film is a difficult task. Along with the movie trailer, key factors such as - the popularity of actors and actresses, comments, ratings, marketing budgets, critical receptions, likes, and dislikes play a significant role in determining a movie’s box office performance. Day by day, the use of social media is increasing. People express their opinions and feelings about anything on social media platforms such as Facebook, Instagram, Twitter, and YouTube. This research paper aims to predict movie box office success using opinions expressed in comments on movie trailers and Wikipedia data through the use of machine learning algorithms.