References
- Oracle. (2023). What is big data?. https://www.oracle.com/kr/big-data/what-is-big-data/
- Y. K. Jang. (2022). South Korea's smartphone ownership rate is 93%, with a surge in older age groups. GAMEVU. https://www.gamevu.co.kr/news/articleView.html?idxno=23948
- Y. S. Baek. (2020). Coronavirus has increased internet use in the 50s and 60s. Digital Today. http://www.digitaltoday.co.kr/news/articleView.html?idxno=265586
- S. I. Baek, S. H. Bae, Y & Y. Song. (2014). Exploring Moderating Effects of Customer's Previous Knowledge and Involvement on Online Word-of-Mouth Adoption in the Application Markets. Entrue Journal of Information Technology. 13(3), 21-34.
- R. S. Lee & M. H. Cho. (2016). The Roles of Information Value, Information Sense, and Prior Knowledge in Relation to the Type of Restaurant Smart Phone Application Contents. Journal of Tourism Sciences, 40(7), 31-53. DOI : 10.17086/JTS.2016.40.7.31.53
- B. S. Lim. (2022). Global Consumers Spent $203 $203 Trillion on Mobile Apps & Spent 3.8 Trillion Hours in 2021...Mobile Market is Stronger Than Ever. SmartPCLove. https://www.ilovepc.co.kr/news/articleView.html?idxno=42149.
- D. J. Kim (2013). How One's Lifestyle Affects Satisfaction in Sports Application as well as Reuse and Recommendation of the Application. Master Dissertation, Ma. D. Dissertation, Dongshin University.
- P. K. Han, J. S. Park, B. H. Jun & B. G. Kang. (2010). A Study on the Factors of Mobile Applications Adoption. Journal of Information Technology Services, 9(3), 65-82.
- Y. W. Han. (2021). A study on the purchase intention based on customer review and service comment when using delivery application. Master Dissertation, Ma. D. Dissertation, Hongik University.
- H. J. Jang. (2021). A study on the improvement of user experience on mobile payment services : a text mining approach. Master Dissertation, Ma. D. Dissertation, Yonsei University.
- Y. K. Han. (2022). Customer value proposition methodology using text mining of online customer reviews. Doctoral dissertation, Ph. D. Dissertation, Hanyang University
- N. S. Kim, S. A. Lee, S. H. Jo & J. H. Kim. (2014). Multi-Dimensional Keyword Search and Analysis of Hotel Review Data Using Multi-Dimensional Text Cubes. Journal of Information Technology and Architecture, 11(1), 63-73.
- D. H. Park. (2021). An analysis of user needs by user's review, based on text-mining : focusing on Bank-Salad and Mint. Master Dissertation, Ma. D. Dissertation, Yonsei University.
- Erdem, T., & Michael P. Keane. (1996). Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Market, Marketing Science, 15(1), 1-20. DOI : https://doi.org/10.1287/mksc.15.1.1
- H. R. Shin & J. H. Choi. (2022). Analysis of User Reviews for Webtoon Applications Using Text Mining. The Journal of the Convergence on Culture Technology (JCCT). 8(4). 457-468. DOI : 10.17703/JCCT.2022.8.4.457
- Jusoh, S., & Alfawareh, H. M. (2012). Techniques, applications and challenging issue in text mining. International Journal of Computer Science Issues (IJCSI), 9(6), 431.
- J. K. Yoon. (2021). A Study on the Patent Analysis Model for Technology Development Trend Using Text Mining. Master Dissertation, Ma. D. Dissertation, Soongsil University.
- E. H. Cho. (2022). Analysis on Key Words in News Articles by Deviance Types of Athletes Using Text Mining. Doctoral dissertation, Ph. D. Dissertation, Dankook University.
- J. C. Ji & M. G. Jun. (2023). Taekwondo sparring instructor coaching expertise and improvement points using text mining. Sport Science, 41(1), 33-40. DOI : http://dx.doi.org/10.46394/ISS.41.1.4
- J. M. Lee.. (2017). An Analysis of Semantic Relations in Knowledge Information in Dance Research Data in Korea from 1958 to 2016, Korea National Resarch Center for Arts, (16), 215-237.
- Lucas, C., Nielsen, R, A., Roberts, M, E., Stewart, B, M., Storer, A., & Tingley, D. (2015). Computer-assisted text analysis for comparative politics. Political Analysis, 23(2), 254-277. https://doi.org/10.1093/pan/mpu019
- S. J. Chae. (2023). Study on the Content Analysis and Development Strategy of Online Dance Video Using Data Mining. Doctoral dissertation, Ph. D. Dissertation, Sangmyung University.
- Jin, W. (2022). Comparative analysis of mobile live streaming application experience based on text mining approach : focusing on TwitchTV and AfreecaTV. Master Dissertation, Ma. D. Dissertation, Yonsei University.
- T. J. Kim. (2022). Analysis of User Perception regarding the Mobile Healthcare Application of a Public Health Center using Big Data. Korean Journal of Sport Science, 33(4), 648-658.
- T. J. Kim & M. H. Kim. (2022). An analysis of user reviews on sports O2O app service using big data and text network analysis, Korean journal of physical education, 61(4), 117-131. DOI : 10.23949/kjpe.2022.7.61.4.10
- K. D. Son. (2022). Discourse analysis of user reviews of KakaoTalk : through usability test. Master Dissertation, Ma. D. Dissertation, Hongik University.
- D. E. Bae. (2021). An analysis on determinants of using personal financial management fin-tech application : based on text mining for banksalad users. Master Dissertation, Ma. D. Dissertation, Yonsei University.
- K. A. Seo. (2022). Using user review text mining analysis of success factors of electric kickboard sharing service. Doctoral dissertation, Ph. D. Dissertation, Hoseo University.
- S. H. Lee, J. S. Kim, S. H. Yoon & H. W. Kim. (2020). An Analysis on Key Factors of Mobile Fitness Application by Using Text Mining Techniques : User Experience Perspective. Journal of Information Technology Services, 19(3), 117-137. DOI : 10.9716/KITS.2020.19.3.117
- Y. N. Lee, M. M. C. Han, S. Y. Yu, M. Q. Siow & Y. S. Kim. (2023). Analyzing TripAdvisor application reviews to enable smart tourism : focusing on topic modeling, Smart media journal, 12(8), 9-17. DOI : 10.30693/SMJ.2023.12.8.9