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http://dx.doi.org/10.6109/jkiice.2016.20.6.1087

The Box-office Success Factors of Films Utilizing Big Data-Focus on Laugh and Tear of Film Factors  

Hwang, Young-mee (School of General Education Sookmyung Women's University)
Park, Jin-tae (School of Computer Science and Engineering, Korea University of Technology and Education)
Moon, Il-young (School of Computer Science and Engineering, Korea University of Technology and Education)
Kim, Kwang-sun (School of Mechanical Engineering, Korea University of Technology and Education)
Kwon, Oh-young (School of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.6, 2016 , pp. 1087-1095 More about this Journal
Abstract
The study aims to analyze factors of box office utilizing big data. The film industry has been increasing in the scale, but the discussion on analysis and prediction of box-office hit has not secured reliability because of failing in including all relevant data. 13 films have sold 10 million tickets until the present in Korea. The study demonstrated laughs and tears as an main interior factors of box-office hit films which showed more than 10 milling tickets power. First, the study collected terms relevant to laugh and tear. Next, it schematizes how frequently laugh and tear factors could be found along the 5-film-stage (exposition - Rising action - crisis - climax - ending) and revealed box-office hit films by genre. The results of the analysis would contribute to the construction of comprehensive database for the box office predictions on future scenarios.
Keywords
big data; box office; interior factors of box- office; laugh factor; tear factor;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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