Analyzing Box-Office Hit Factors Using Big Data : Focusing on Korean Films for the Last 5 Years :Focusing on Korean Films for the Last 5 Years

Youngmee Hwang; Kwangsun Kim; Ohyoung Kwon; Ilyoung Moon; Gangho Shin; Jongho Ham; Jintae Park

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자료유형: 학술저널

저자정보: Youngmee Hwang (Sookmyung Women`s University) Kwangsun Kim (Korea University of Technology and Education) Ohyoung Kwon (Korea University of Technology and Education) Ilyoung Moon (Korea University of Technology and Education) Gangho Shin (Daejin University) Jongho Ham (University of Seoul) Jintae Park (Korea University of Technology and Education)

저널정보: 한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.15 No.4

발행연도: 2017.12

수록면: 217 - 226 (10page)

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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.

#Big data #Box office analysis model #Box office internal/external factors #Korean film analysis

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M. Salehan and D. Kim, “Predicting the performance of online consumer reviews: a sentiment mining approach to big data analytics,” Decision Support Systems, vol. 81, pp. 30?40, 2016. X. Wang, Y. Wang, J. Chai, X. Feng, and Z. Liu, “The big data applications in film industry Chain,” International Journal of Computer Applications, vol. 9, no. 12, pp. 1?8, 2016. M. Fetscherin, “The main determinants of Bollywood movie box office sales,” Journal of Global Marketing, vol. 23, no. 5, pp. 461? 476, 2010. J. Treme, “Effects of celebrity media exposure on box-office performance,” Journal of Media Economics, vol. 23, no. 1, pp. 5? 16, 2010. M. Mestyan, T. Yasseri, and J. Kertesz, “Early prediction of movie box office success based on Wikipedia activity big data,” PLOS One, vol. 8, no. 8, article no. e71226, 2013.

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