Date of Award
Master of Science (MS)
This research paper investigates the critical factors that impact the success and profitability of feature films in the entertainment industry. The study is divided into two primary parts. The first part aims to identify trends in cinema and predict box office earnings using advanced data analytics techniques. The second part examines user reviews to determine the key factors that influence film viewership. The objective is to provide valuable insights to cinema enthusiasts, film executives, and streaming platforms, helping them make informed decisions on film production and recommendations. The methods utilized include descriptive data visualizations in Excel and Python and predictive modeling using WEKA and JMP Pro. The findings demonstrate significant changes in audience preferences across age groups and time periods for different film genres. The research also explores predictive models that can accurately classify a film into an earnings range approximately 33% of the time. The results indicate that further information is required to improve the accuracy of film success predictions, and several potential research avenues are briefly explored.
Crossland, Brandon, "Cinema Trends and Viewer Preferences: An Analysis of Movie Trends, Factors Leading to Box-Office Success, and Viewer Ratings" (2023). Analytics Capstones. 4.