From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts | Zendy

Jehoshua Eliashberg | Zendy; Sam K. Hui | Zendy; Z. John Zhang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts

Author(s) -

Jehoshua Eliashberg,

Sam K. Hui,

Z. John Zhang

Publication year - 2007

Publication title -

management science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 4.954

H-Index - 255

eISSN - 1526-5501

pISSN - 0025-1909

DOI - 10.1287/mnsc.1060.0668

Subject(s) - scripting language , studio , screenwriting , computer science , process (computing) , domain (mathematical analysis) , return on investment , film industry , multimedia , artificial intelligence , visual arts , movie theater , production (economics) , art , economics , programming language , telecommunications , mathematical analysis , mathematics , macroeconomics

Movie studios often have to choose among thousands of scripts to decide which ones to turn into movies. Despite the huge amount of money at stake, this process--known as green-lighting in the movie industry--is largely a guesswork based on experts' experience and intuitions. In this paper, we propose a new approach to help studios evaluate scripts that will then lead to more profitable green-lighting decisions. Our approach combines screenwriting domain knowledge, natural-language processing techniques, and statistical learning methods to forecast a movie's return on investment (ROI) based only on textual information available in movie scripts. We test our model in a holdout decision task to show that our model is able to significantly improve a studio's gross ROI.entertainment industry, new product development, forecasting, contingency data analysis

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research