Browse > Article
http://dx.doi.org/10.7236/IJIBC.2020.12.4.196

A Study on the Perception of Corona19 Period Play Culture Based on Big Data Analysis  

Jung, Seon-Jin (College of liberal and convergence, Honam University)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.12, no.4, 2020 , pp. 196-203 More about this Journal
Abstract
In this study, we tried to explore the actual direction for the play culture by looking at the social perception of the change of play culture due to the Corona 19 using big data analysis. For this research, we used Textom, a website specializing in collecting big data, and collected 10,216 data using keywords of "Corona + Play," "Play Culture" and "Leisure" from January 19, 2020 to September 30, 2020, when the first confirmed case of Corona 19 occurred in Korea on various portal sites at home and abroad. The results of this paper showed that the social perception of the play culture in Corona 19 was 51.61%, not much different from the negative image of 48.15%. It is necessary to develop a play culture program that can identify people's various desires and emotions under the premise that situations similar to the current With Corona period and Corona19 can occur at any time, and find mental and physical stability and vitality in unstable situations. In addition, the results of this study can be used as basic data for the development of play culture policies or programs, with the significance that this study helped vitalize big data utilization research in the fields of play, leisure, and culture.
Keywords
Big-data; Opinion Mining; Text Mining; Play Culture;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
연도 인용수 순위
1 Hye-Jin Yang, "Differences in depression and psychological emotions according to the degree of self-elasticity of college freshmen in COVID-19," The Journal of the Convergence on Culture Technology(JCCT), Vol.6, No.3, pp.75-82, 2020. http://dx.doi.org/10.17703/JCCT.2020.6.3.75   DOI
2 Jung Kyung-mi, "Treatise on the Tea Culture and Health Care in the Big Data Age," Cha Culture Industry, Vol.48, pp.81-112, 2020. DOI: http://doi.org/10.21483/qwoaud.48..202006.81   DOI
3 Mingoo Song. "Development of Big Data System for Energy Big Data." KIISE Transactions on Computing Practices, Vol.24, No.1, pp. 24-32, 2018. DOI: http://doi.org/10.5626/KTCP.2018.24.1.24   DOI
4 Shin Dong-jin, Hwang Seung-yeon, Lee Don-hee, Moon Jin-yong and Kim Jung-jun, "Analysis of Professional Baseball Data based on Big Data," Korean Internet Broadcasting and Telecommunications Association, Vol.20, No. 4, pp.177-185, 2020. DOI: http://doi.org/10.7236/JIIBC.2020.20.4.177   DOI
5 Amarjargal Dagvadorj, Yeo-Ra Lee and Hak-Seon Kim, "A Study on the Consumer's Perception of Bakery Using Big Data Analytics," Culinary Science & Hospitality Research 26(4), 66-75; 2020. DOI: http://doi.org/10.20878/cshr.2020.26.4.007   DOI
6 Lim Byung-hak, Cho Ho-hyun and Uhm Sung-won, "Using Sentiment Analysis of Passengers' Reviews to Analyze Airline Service Quality," Journal of the Korean Air Management Association, Vol.18, No. 3, pp.97-114, 2020. DOI: http://doi.org/10.30529/amsok.2020.18.3.005   DOI
7 http://www.textom.co.kr
8 Jae-Kyung Sung, Kim Yung-Bok and Kim Yong-guk, "Deep learning-based Multilingual Sentimental Analysis using English Review Data," Korean Internet Broadcasting and Telecommunications Association, Vol.19, No. 3, pp. 9-15, 2019. DOI: http://doi.org/10.7236/JIIBC.2019.19.3.9   DOI
9 Nam Ki-won and Shin Mi-young, "Analysis of types of child play and contents within children's TV animation," Multicultural Contents Research, Vol., No. 33, pp. 297-330, 2020. DOI: http://doi.org/10.15400/mccs.2020.04.33.297   DOI
10 Lim-bong-woo, "A study on the sociological understanding of playfulness recognized by university students," Journal of the Korean Society of Convergence Science, Vol.8, No. 4, pp.108-119, 2019. DOI: http://doi.org/10.24826/KSCS.8.4.6   DOI