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Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by Dursun Delen, Robert Nisbet, Thomas Hill, Andrew Fast, John Elder, Gary Miner

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Tutorial O

Predicting Box Office Success of Motion Pictures with Text Mining

Dursun Delen, PhD,     Department of Management Science and Information Systems, Spears School of Business, Oklahoma State University, Tulsa, Oklahoma

Contents

Introduction

Predicting the financial success of a movie prior to its production cycle is arguably one of the most challenging yet essential tasks for decision makers in the motion picture industry. If done accurately, such information could allow decision makers to optimally allocate their resources (financial and otherwise) to maximize their RIO. In-depth knowledge about the factors affecting the financial success of a movie would be of great use in making project selection, ...

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