Acknowledgement
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2021-2018-0-01799, IITP-2021-2020-0-01655) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)
References
- S. Y. Pyo, "Frame Analysis of Corona-19 News on Korean Public Broadcasting System: Focused on KBS," The Journal of the Korea Contents Association, vol. 20, no. 12, pp. 112-122, Dec. 2020. https://doi.org/10.5392/JKCA.2020.20.12.112
- S. T. Ha, "Impact of Using SNS on Individuals Social Capital," Society for Journalism and Communication Studies, vol. 21, no. 2, pp. 73-99, May. 2017.
- S. R. Lee and E. J. Choi, "Comparison of responses to issues in SNS and Traditional Media using Text Mining-Focusing on the Termination of Korea-Japan General Security of Military Information Agreement (GSOMIA)-," Journal of Digital Convergence, vol. 18, no. 2, pp. 277-284, Feb. 2020. https://doi.org/10.14400/JDC.2020.18.2.277
- H. L. Kim, "COVID-19 : Our Memory: A Digital Archive for Social Changes caused by SARS-CoV-2," Journal of Korean Society of Archives and Records Management, vol. 20, no. 4, pp. 229-237, Nov. 2020. https://doi.org/10.14404/JKSARM.2020.20.4.229
- I. Vulic, W. D. Smet, J. Tang, and M. Moens, "Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications," Information Processing & Management, vol. 51, no. 1, Jan. 2015.
- C. H. Nahm, "An Illustrative Application of Topic Modeling Method to a Farmer's Diary," Cross-Cultural Studies, vol. 22, no. 1, pp. 89-135, Jan. 2016.
- D. M. Blei, "Probabilistic topic models," Communications of the ACM, vol. 55, no. 4, pp. 77-84, Apr. 2012. https://doi.org/10.1145/2133806.2133826
- H. Jelodar, Y. Wang, C. Yuan, X. Feng, X. Jiang, Y. Li, and L. Zhao, "Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey," Multimedia Tools and Applications, vol. 78, no. 11, pp. 15169-15211, Nov. 2018. https://doi.org/10.1007/s11042-018-6894-4
- D. M, Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," Journal of machine Learning research, vol. 3, pp. 993-1022. Jan. 2003.
- K. W. Cho, K. Won, and Y. W. Woo, "Topic Modeling on Research Trends of Industry 4.0 Using Text Mining," Journal of the Korea Institute of Information and Communication Engineering, vol. 23, no. 7, pp. 764-770, Jul. 2019. https://doi.org/10.6109/JKIICE.2019.23.7.764
- B. I. Kang, M. Song, and W. S. Jho, "A Study on Opinion Mining of Newspaper Texts based on Topic Modeling," Journal of the Korean Society for Library and Information Science, vol. 47, no. 4, pp. 315-334, Nov. 2013. https://doi.org/10.4275/KSLIS.2013.47.4.315
- T. J. Kim, "COVID-19 News Analysis Using News Big Data : Focusing on Topic Modeling Analysis," Journal of the Korea Contents Association, vol. 20, no. 5, pp. 457-466, May. 2020. https://doi.org/10.5392/JKCA.2020.20.05.457
- J. S. Lee, "Visual Analysis of CNN's COVID-19 News Coverage : From the Disease of the 'Others' to the 'Us'," Media, Gender & Culture, vol. 35, no. 2, pp. 245-298, Jun. 2020. https://doi.org/10.38196/mgc.2020.06.35.2.245
- S. M. Kim, "Analysis of Press Articles in Korean Media on Online Education related to COVID-19," Journal of Digital Contents Society, vol. 21, no. 6, pp. 1091-1100, Jun. 2020. https://doi.org/10.9728/dcs.2020.21.6.1091
- D. P. Kaila and D. A. Prasad, "Informational flow on Twitter -Corona virus outbreak-topic modelling approach," International Journal of Advanced Research in Engineering and Technology, vol. 11, no. 3, pp. 128-134, Mar. 2020.
- S. Boon-Itt and Y. Skunkan, "Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study," JMIR Public Health Surveill, vol. 6, no. 4, Nov. 2020.
- S. Boberg, T. Quandt, T. Schatto-Eckrodt, and L. Frischlich. (2020, April). Pandemic populism: Facebook pages of alternative news media and the corona crisis--A computational content analysis [Internet]. Available: https://arxiv.org/abs/2004.02566.
- Media Big Data Research Center, "Visualization of text mining, analysis and utilization of topic modeling," BFly News Letter, Jun. 2020.
- D. M. Blei. "Probabilistic topic models," Communications of ACM, vol. 55, no. 4, pp. 77-84, 2012. https://doi.org/10.1145/2133806.2133826