Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Analyzing Box-Office Hit Factors Using Big Data: Focusing on Korean Films for the Last 5 Years

  • Hwang, Youngmee (School of General Education,Sookmyung Women's University) ;
  • Kim, Kwangsun (Department of Mechatronics Engineering, Korea University of Technology and Education) ;
  • Kwon, Ohyoung (Department of Computer Science & Engineering, Korea University of Technology and Education) ;
  • Moon, Ilyoung (Department of Computer Science & Engineering, Korea University of Technology and Education) ;
  • Shin, Gangho (Division of Theater and Cinema, Daejin University) ;
  • Ham, Jongho (College of Liberal Arts and Cross-Disciplinary Studies, University of Seoul) ;
  • Park, Jintae (Department of Computer Science & Engineering, Korea University of Technology and Education)
  • Received : 2017.10.15
  • Accepted : 2017.11.08
  • Published : 2017.12.31
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Abstract

Korea has the tenth largest film industry in the world; however, detailed analyses using the factors contributing to successful film commercialization have not been approached. Using big data, this paper analyzed both internal and external factors (including genre, release date, rating, and number of screenings) that contributed to the commercial success of Korea's top 10 ranking films in 2011-2015. The authors developed a WebCrawler to collect text data about each movie, implemented a Hadoop system for data storage, and classified the data using Map Reduce method. The results showed that the characteristic of "release date," followed closely by "rating" and "genre" were the most influential factors of success in the Korean film industry. The analysis in this study is considered groundwork for the development of software that can predict box-office performance.

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