Date of Award

Spring 5-13-2023

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Margaret McCoey

Language

English

Abstract

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.

Download

Share

COinS