Analyzing box-office hit factors using big data: Focusing on Korean films for the last 5 years
  • Hwang, Youngmee
  • Kim, Kwangsun
  • Kwon, Ohyoung
  • Moon, Ilyoung
  • Shin, Gangho
  • 외 2명
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초록

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. © 2017 The Korea Institute of Information and Communication Engineering.

키워드

Big dataBox office analysis modelBox office internal/external factorsKorean film analysis
제목
Analyzing box-office hit factors using big data: Focusing on Korean films for the last 5 years
저자
Hwang, YoungmeeKim, KwangsunKwon, OhyoungMoon, IlyoungShin, GanghoHam, JonghoPark, Jintae
DOI
10.6109/jicce.2017.15.4.217
발행일
2017-12
유형
Article
저널명
Journal of Information and Communication Convergence Engineering
15
4
페이지
217 ~ 226