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http://dx.doi.org/10.5762/KAIS.2018.19.2.164

A Study on the Potential and Limitation of Pre-producing Dramas through Social Analysis -focusing on a jtbc drama -  

Kim, Kyung-Ae (Department of Korean Language Education, Mokwon University)
Ku, Jin-Hee (Division of Information Communication Convergence Engineering, Mokwon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.2, 2018 , pp. 164-172 More about this Journal
Abstract
This paper examines the relevance of pre-production and storytelling in big data analysis and, focusing on JTBC's Man to Man series, looks at how the drama's storytelling should be structured. In this study, we conducted text mining on blogs focused on a particular topic to read the viewer's thoughts on pre-produced dramas and on 67 blogs written about Pre-Production Dramas from 2016.12.15 to 2017.12.15. Also, we conducted sentiment analysis about the Man to Man series, which is not only a pre-production drama, but also has storytelling issues. The blog text extraction and text mining were analyzed using the OutWit Hub and the R, and the tools.provided by social metrics were used to make sentiment analyses of the larger data. Sentiment analysis revealed that the viewers of the Man to Man series did not agree with the romance between Kim Sul-woo and Cha Do-ha, due to the lack of reality in the female characters. Therefore, it was concluded that it is crucial to increase the reality of the characters in order to increase the audience's empathy. These studies will continue to be necessary, because they will form the basis for digitally driven storytelling studies and will provide valuable materials for conducting predictions and instructions in the cultural content industry.
Keywords
sentiment analysis; social analysis; storytelling; text mining; viewers empathy;
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Times Cited By KSCI : 2  (Citation Analysis)
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