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@article{ART002665234},
author={Seong-Min Heo and yang ji yeon},
title={Analysis of Research Topics and Trends on COVID-19 in Korea Using Latent Dirichlet Allocation (LDA)},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={12},
pages={83-91},
doi={10.9708/jksci.2020.25.12.083}

TY - JOUR
AU - Seong-Min Heo
AU - yang ji yeon
TI - Analysis of Research Topics and Trends on COVID-19 in Korea Using Latent Dirichlet Allocation (LDA)
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 12
PB - The Korean Society Of Computer And Information
SP - 83
EP - 91
SN - 1598-849X
AB - This study aims to identify research topics and examine the trend of Covid19-related papers on DBpia. Applying latent Dirichlet allocation (LDA), we have extracted seven research topics, each of which concerns "International Dynamics", "Technology & Security", "Psychological Impact", "Biomedical-Related", "Economic Impact", "Online Education", and "Religion-Related". In addition, we used the multinomial logistic model to examine the trend of research topics. We found that the papers mainly cover topics related to "International Dynamics" and "Biomedical-Related" before June 2020, but the topics have become diverse since then. In particular, topics regarding "Economic Impact", "Online Education" and "Psychological Impact" has drawn increased attention of researchers. The findings would provide a guideline for collaboration in Covid19-related research, and could serve as a reference work for active research.
KW - Covid19;text mining;latent Dirichlet allocation;research topic;multinomial logistic model
DO - 10.9708/jksci.2020.25.12.083
ER -

Seong-Min Heo and yang ji yeon. (2020). 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), 83-91.

Seong-Min Heo and yang ji yeon. 2020, "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, vol.25, no.12 pp.83-91. Available from: doi:10.9708/jksci.2020.25.12.083

Seong-Min Heo, yang ji yeon "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) : 83.

Seong-Min Heo, yang ji yeon. Analysis of Research Topics and Trends on COVID-19 in Korea Using Latent Dirichlet Allocation (LDA). 2020; 25(12), 83-91. Available from: doi:10.9708/jksci.2020.25.12.083

Seong-Min Heo and yang ji yeon. "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, no.12 (2020) : 83-91.doi: 10.9708/jksci.2020.25.12.083

Seong-Min Heo; yang ji yeon. 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), 83-91. doi: 10.9708/jksci.2020.25.12.083

Seong-Min Heo; yang ji yeon. 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. 2020; 25(12) 83-91. doi: 10.9708/jksci.2020.25.12.083

Seong-Min Heo, yang ji yeon. Analysis of Research Topics and Trends on COVID-19 in Korea Using Latent Dirichlet Allocation (LDA). 2020; 25(12), 83-91. Available from: doi:10.9708/jksci.2020.25.12.083

Seong-Min Heo and yang ji yeon. "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, no.12 (2020) : 83-91.doi: 10.9708/jksci.2020.25.12.083