Story modeling for green light decision making

Abstract

The content business is an important field that regulates national competitiveness in the culture industry. Particularly, the size of the movie industry is 1.1 billion dollars in Korea and 85 billion dollars worldwide. It is steadily increasing. However, few movies are successful and the production of a new movie has a high risk. Thus, it is necessary to analyze the scenarios that are made before filming. This is needed to forecast if a movie will be hit. We propose a new method that analyzes and forecasts the movie based on its story, since the plot most influences a box office hit.