Date of Award

Spring 1-1-2017

Document Type

Thesis

Degree Name

Master of Science (MS)

First Advisor

Brian Keegan

Second Advisor

Jem Corcoran

Third Advisor

Manuel Lladser

Abstract

Over the past decade, social media has become an increasingly powerful tool for economic and social analysis. Specifically, Twitter has been used in a variety of fields to predict and analyze human behavior and the effects that behavior has on marketing and product sales. In this study, I attempt to find a predictive model for movie box office revenue using well-connected, film industry critics and other Twitter users, natural language processing, and statistical analysis.

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