1 |
Sang-Mi Kim, "Analysis of Press Articles in Korean Media on Online Education related to COVID-19", Journal of Digital Contents Society, 21(6), pp.1091-1100, 2020.
DOI
|
2 |
Yoon Young Mi, Kim Seong Kwang, Kim Hye Kyeong, Kim Eun Joo, Jeong Yuneui, "Comparison of Topics Related to Nurse on the Internet Portals and Social Media Before and During the COVID-19 era Using Topic Modeling", Journal of Muscle and Joint Health, 27(3), pp.255-267, 2020.
DOI
|
3 |
Seong-Min Heo, Ji-Yeon Yang, "Analysis of Research Topics and Trends on COVID-19 in Korea Using Latent Dirichlet Allocation (LDA)", Journal of The Korea Society of Computer and Information, 25(12), pp.83-91, 2020.
DOI
|
4 |
Eunhoe Kim, Yu Hwa Suh, "A Method of Calculating Topic Keywords for Topic Labeling", Journal of The Korea Society of Digital Industry and Information Management, 16(3), pp. 25-36, 2020.
DOI
|
5 |
Time Series analysis tsa, https://www.statsmodels.org/stable/tsa.html
|
6 |
David M. Blei, Andrew Y. Ng, Michael I. Jordan, "Latent Dirichlet Allocation", Journal of Machine Learning Research, Vol. 3, pp. 993-1022, 2003.
|
7 |
Carson Sievert and Kenneth E. Shirley, "LDAvis: A method for visualizing and interpreting topics", Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, Baltimore, Maryland, USA, pp. 63-70, June 27, 2014.
|
8 |
Jinsol Kim, Donghoon Shin, Hee-Woong KIM, "Analysis of Major COVID-19 Issues Using Unstructured Big Data", Knowledge Management Research, 22(2), pp.145-165, 2021.
|
9 |
Seong-Min Heo, Ji-Yeon Yang, "A Convergence Study on the Topic and Sentiment of COVID19 Research in Korea Using Text Analysis", Journal of the Korea Convergence Society,12(4), pp.31-42, 2021.
DOI
|
10 |
Kci, https://www.kci.go.kr/
|
11 |
Time series decompose, https://otexts.com/fppkr/decomposition.html
|
12 |
Cleveland, R. B., Cleveland, W. S., McRae, J. E., Terpenning, I. J, "STL: A seasonal-trend decomposition procedure based on loess", Journal of Official Statistics, 6(1), pp. 3-33. 1990.
|