Honors Theses and Capstones

Date Completed

Spring 2020

Abstract

Today, many people check the ratings and reviews of a movie before they watch it. A review can be easily published online and seen by thousands of people, and this can change a person’s opinion on whether or not they see the film. With the increasing presence of online platforms, it has changed the way people express their thoughts and feelings. There are many different platforms people can go to find varying opinions on a particular movie. This research will consider the problem of predicting a movie’s overall gross revenue. We focus on ratings, reviews and information given on the IMDb Website. (https://www.imdb.com) A list of 4,265 movies and their corresponding reviews were collected between January 2005 and December 2019. In our research, we use RStudio and sentiment analysis to determine a review’s emotions and opinions. We investigate whether the sentiment in a movie’s reviews can predict overall gross revenue, as well as other predictors given on the IMDb website.

First Advisor

Ali Hojjat

College or School

PAUL

Department or Program

Information Systems and Business Analytics

Degree Name

Bachelor of Science

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