최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Journal of the convergence on culture technology : JCCT = 문화기술의 융합, v.8 no.4, 2022년, pp.457 - 468
신효림 (연세대학교 정보대학원 UX전공) , 최준호 (연세대학교 정보대학원)
With the rapid growth of the webtoon industry, a new model for webtoon applications has emerged. We have entered the era of webtoon application version 3.0 after ver 1.0 and ver 2.0. Despite these changes, research on user review analysis for webtoon applications is still insufficient. Therefore, th...
J. H. Kim, "Grab the 100 trillion won market! NAVER vs Kakao. 'Webtoon War'", Weekly Donga, 2021. Available : https://weekly.donga.com/BestClick/3/all/11/2867878/1
Korea Creative Content Agency, "2020 A Survey on Webtoon Businesses," KOCCA, 2020.
J. H. Yoon, "'Glamorous but unfamiliar .3 points that raised dissatisfaction with Kakao Webtoon," MoneyToday, 2021. Available : https://news.mt.co.kr/mtview.php?no2021081014563988784
Gao, C., Zeng, J., Lyu, M. R., and King, I., "Online app review analysis for identifying emerging issues," In Procedings of the 40th International Conference on Software Engineering, pp. 48-58, 2018.
Gu, X., and Kim, S., "what parts of your apps are loved by users?," In 2015 30th IEEE/ACM International Conference on Automated Software Engineering(ASE), pp. 760-770, 2015.
Pagano, D., and Maalej, W., "User feedback in the appstore: An empirical study," In 2013 21st IEEE international requirements engineering conference, pp. 125-134, 2013.
J. H. Jung, H. I. Chung, and Z. K. Lee, "An Analysis of Mobile Food Delivery App 'Baemin' by Using Text Mining and ARIMA Model," Journal of Digital Contents Society, Vol. 22, No. 2, pp. 291-299, 2021.
Lee, Y., So, H., Kwahk, K. Y., and Ahn, H., "A Study of Webtoon comments using Text mining: Focusing on Naver's Best Challenge Webtoon," In Proceedings of the Korean Society of Computer Information Conference, pp. 219-222, 2020.
Lee, D. K., Lee, S. J., and Choi, I. Y., "Response Analysis of Stop Smoking Campaign Webtoon Using Text Mining Technology: Focused on the "Tale of Cigarette" Comments," Journal of Health Informatics and Statistics, Vol. 43, No. 1, pp. 70-79, 2018.
Morales-Ramirez, I., Munante, D., Kifetew, F., Perini, A., Susi, A., and Siena, A., "Exploiting user feedback in tool-supported multi-criteria requirements prioritization," In 2017 IEEE 25th International Requirements Engineering Conference, pp. 424-429, 2017.
H. S. Cho, S. A. Kang, and M. H. Ryu, "An Analysis of OTT Service Review Using Text Mining: Focusing on the Competitive Advantage of Local Service," The Journal of Korean Institute of Communications and Information Sciences, Vol. 46, No. 4, pp. 722-733, 2021.
M. G. Jo, "Google-Play-Scraper," GitHub, 2019. Available : https://github.com/JoMingyu/google-play-scraper
H. Y. Kim, "soynlp", GitHub, 2021. Available : https://github.com/lovit/soynlp
TEANAPS, "TEANAPS: Text Analysis APIs for Education", GitHub, 2019, Available : http://teanaps.com
H. G. Shim, Y. C. Kim, H. Y. Shon, and J. Y. Lim, "An Exploratory Usage Pattern Research of Smartphone and Social Media Users through Semantic Network Analysis : Gender and Age Differences in Perception and Evaluation of Usage Pattern," Korean Journal of Broadcasting and Telecommunication Studies, Vol. 25, No. 4, pp. 82-138, 2011.
C. S. Park, and J. S. Lee, "Steps of Text Data Cleaning: for Network Text Analysis Using Large-scale Data," Modern Society and Public Administration, Vol. 27, No. 4, pp. 35-68, 2017.
J. S. Han, and J. H. Yoon, "Activation Strategies of the 20th BIFF using Social Big Data Text Mining Analysis," Journal of Tourism Sciences, Vol. 40, No. 1, pp. 133-145, 2016.
Wasserman, S., Faust, K., Iacobucci, D., & Granovetter,M., "Social Network Analysis: Methods & Applications," London, England: Cambridge University Press, 1994.
P. L. Chung, H. C. Ahn, and K. Y. Kwahk, "Identification of Core Features and Values of Smartphone Design using Text Mining and Social Network Analysis," Korean Journal of Business Administration, Vol. 32, No. 1, pp. 27-47, 2019.
Blei, D. M., Ng, A. Y., and Jordan, M. I., "Latent dirichlet allocation," Journal of machine Learning research, Vol. 3, pp. 993-1022, 2003.
Chang, J., Gerrish, S., Wang, C., Boyd-Graber, J., and Blei, D., "Reading tea leaves: How humans interpret topic models," Advances in neural information processing systems, Vol. 22, 2009.
Newman, D., Lau, J. H., Grieser, K., and Baldwin, T., "Automatic evaluation of topic coherence," In Human language technologies: The 2010 annual conference of the North American chapter of the association for computational linguistics, pp. 100-108, 2010.
Telecommunications Technology Association, "Information and communication terminology dictionary," 2022. Available : http://terms.tta.or.kr
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K., "Bert: Pre-training of deep bidirectional transformers for language understanding," arXiv preprint arXiv:1810.04805, 2018.
Bower, G. H., and Morrow, D. G., "Mental models in narrative comprehension," Science, Vol. 247, pp. 44-48, 1990.
Carley, K., and Palmquist, M., "Extracting, representing, and analyzing mental models," Social forces, Vol. 70, No. 3, pp. 601-636, 1992.
Atman, C. J., Bostrom, A., Fischhoff, B., and Morgan, M. G., "Designing risk communications: completing and correcting mental models of hazardous processes, Part I," Risk Analysis, Vol. 14, No. 5, pp. 779-788, 1994.
W. J. Jung, "The Effects of User Mental Models on the Intention to Use Smartphone Applications," The e-Business Studies, Vol. 15, No. 3, pp. 339-361, 2014.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.