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2. Cho, S. B., Shin, S. A., and Kang, D. S.(2018), A Study on the Research Trends on Open Innovation using Topic Modeling, Informatin Policy, 25(3), 52-74. 

3. Cho, K. W., Han. N. Y.(2021). Research Trends on Emotional Labor in Korea using text mining. Journal of the Korea Industrial Information Systems Research, 26(6), 119-133. 

4. Choi, H. Y., Lee, J. R., Jin, M. J.(2020). Intimate Partnerships and Family Policy in Korean News Articles and Comments: A Topic Model Analysis. Family and Culture, 32(4), 29-60. 

5. Chung, M. S. & Lee, J. Y.(2018), Systemic Analysis of Research Activities and Trends Related to Artificial Intelligence(A.I.) Technology Based on Latent Dirichlet Allocation (LDA) Model). Journal of the Korea Industrial Information Systems Research, 23, 87-95. 

6. Choi, J. H. and Han, D. S.(2011). A Study on the Correlation of Agendas between Politicians' Twitters and traditional News Media. Journal of Communication, 11(2), 501-532. https://doi.org/10.22693/NIAIP.2018.25.3.052 

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7. D. M. Blei(2012). Probabilistic Topic Model, Communications of the ACM, 55(4), 77-94 

8. Kim, E. M. and Lee, J. H.(2011). The Diffusion of News through Twitter and the Emerging Media Ecosystem. Korean Journal of Journalism & Communication Studies, 55(6), 152-180. 

9. Kim, N. G., Lee, D. H., Choi, H. C and William Xiu Shun, W.(2017). Investigations on Techniques and Applications of Text Analytics. The Journal of Korean Institute of Communications and Information Sciences, 42(2), 471-492. 

10. Ku, G. T(2002). The Impact of Website Campaigning on Traditional News Media and Public Agenda: Based on Agenda-Setting. Korean Journal of Journalism & Communication Studies, 46(4), 46-75. 

11. Lee, S. J., and Min, K. S.(2022), Intergrated Interpretation of Network Analysis and Topic Modeling in Text-mining: Focusing on College Competency-based Education. Journal of Education Evaluation, 35(1), 165-188. 

12. Lee. S. J(2020), Topic Modeling of Newspaper Articles on Government 'Senior job program' via Latent Dirichlet Allocation. Journal of Digital Convergence, 18(10), pp. 537-546 

13. Park, S. H.(2005). On the Journalistic Characteristics and Social Impacts of Internet Bulletin Board as a Public Opinion Space]. Korea Regional Communication Research Association, 5(3), 191-226. 

14. Park, J. S,, Hong, S. G., and Kim, J. W.(2017), A Study on Science Technology Trend and Prediction Using Topic Modeling]. Journal of the Korea Industrial Information Systems Research, 22, 19-28. 

15. Park, S. H.(2012). Critical Study on the Forming Public Opinion of SNS and Participation Behavior. Korean Journal of Communication & Information, 55-73. 

16. Park, K. H., Lee, E. Y., and Yune, S. J.(2021), Counseling Outcomes Research Trend Analysis Using Topic Modeling - Focus on 「Korean Journal of Counseling, Journal of digital convergence, 19(11), 517-523. 

17. T. Griffiths and M. Steyvers(2004), Probabilistic Topic Models, Proceedings of the National Academy of Sciences Vol. 101 Issue suppl_1 Pages 5228-523 

18. X. Wang, and A. McCallum(2006). Topics over Time: A Non-Markov Continuous-Time Model of Topical Tren. KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 986. https://doi.org/10.1145/1150402 

    

19. Yoon, T. I. and Shim, J. C.(2003). Agenda-Setting Effects of Controversial Websites. Korean Journal of Journalism & Communication Studies, 47(6), 194-219.