From Storyline to Box Office: A New Approach for Green-Lighting Movie Scripts
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 which 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 movies return-on-investment 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 improve a studios gross return-on-investment significantly.
Entertainment Industry New Product Development Forecasting Contingency Data Analysis
Jehoshua Eliashberg Sam K.Hui Z.John Zhang
The Wharton School University of Pennsylvania Philadelphia, PA 19096
国际会议
第六届管理学国际会议(Proceedings of ICM2007 the 6th International on Management)
武汉
英文
859-874
2007-08-03（万方平台首次上网日期，不代表论文的发表时间）