Browse > Article
http://dx.doi.org/10.5762/KAIS.2021.22.5.317

Trend Analysis of Corona Virus(COVID-19) based on Social Media  

Yoon, Sanghoo (Division of Mathematics and Big data science, Daegu University)
Jung, Sangyun (Division of Mathematics and Big data science, Daegu University)
Kim, Young A (College of Nursing, Jeju National University.Health & Nursing Research Institute)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.5, 2021 , pp. 317-324 More about this Journal
Abstract
This study deals with keywords from social media on domestic portal sites related to COVID-19, which is spreading widely. The data were collected between January 20 and August 15, 2020, and were divided into three stages. The precursor period is before COVID-19 started spreading widely between January 20 and February 17, the serious period denotes the spread in Daegu between February 18 and April 20, and the stable period is the decrease in numbers of confirmed infections up to August 15. The top 50 words were extracted and clustered based on TF-IDF. As a result of the analysis, the precursor period keywords corresponded to congestion of the Situation. The frequent keywords in the serious period were Nation and Infection Route, along with instability surrounding the Treatment of COVID-19. The most common keywords in all periods were infection, mask, person, occurrence, confirmation, and information. People's emotions are becoming more positive as time goes by. Cafes and blogs share text containing writers' thoughts and subjectivity via the internet, so they are the main information-sharing spaces in the non-face-to-face era caused by COVID-19. However, since selectivity and randomness in information delivery exists, a critical view of the information produced on social media is necessary.
Keywords
Blog; Clustering; COVID-19; Sentimental analysis; Social media;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 H. J. Lee, H. Y. Lee, "COVID-19 stress: Is the level of COVID-19 stress same for everybody? - Segmentation approach based on COVID-19 stress level", KOREA LOGISTICS REVIEW, Vol.30, No.4, pp.75-87, 2020. DOI: https://dx.doi.org/10.17825/klr.2020.30.4.75   DOI
2 T. J. Kim, "COVID-19 News analysis using news big data : Focusing on topic modeling analysis", The Journal of the Korea Contents Association, Vol.20, No.5, pp.457-466, 2020. DOI: https://doi.org/10.5392/JKCA.2020.20.05.457   DOI
3 J. S. No, "How to overcome Corona blue?", Local Finance Association, Vol.2020, No.4, pp.124-127, 2020.
4 J. H. Koh, Y. K. Chong, "Analysis of Taiwanese food trends in Korea using social big data: Focusing on blog text analysis", Journal of Tourism Management Research, Vol.24, No.3, pp.71-91, 2020. DOI: http://dx.doi.org/10.18604/tmro.2020.24.3.4   DOI
5 D. Boyd, N. B. Ellison, "Social network sites: Definition, history, and scholarship", Journal of Computer-Mediated Communication, Vol.13, No.1, pp.210-230, 2007.   DOI
6 B. K. Kim, M. K. Kim, "Keywords network analysis of temple stay using big-data", Journal of Tourism Sciences, Vol.39, No.4, pp.27-40, 2015. DOI: http://dx.doi.org/10.17086/JTS.2015.39.5.27.40   DOI
7 S. H. Hwang, D. Y. Ku, J. K. Kim, "Application of social big data analysis for cosmedical cosmetics marketing: H company case study", Journal of Digital Convergence, Vol.17, No.7, pp.35-41, 2019. DOI: https://doi.org/10.14400/JDC.2019.17.7.035   DOI
8 H. Christian, M. P. Agus, D. Suhartono, "Single document automatic text summarization using term frequency-inverse document frequency (TF-IDF)", ComTech: Computer, Mathematics and Engineering Applications, Vol.7, No.4, pp.285-294, 2016. DOI:https://doi.org/10.21512/comtech.v7i4.3746   DOI
9 J. Y. Heo, "Clinical and epidemiological characteristics of coronavirus disease 2019 in the early stage of outbreak", Korean Journal of Medicine, Vol.95, No.2, pp.67-73, 2020. DOI: https://doi.org/10.3904/kjm.2020.95.2.67   DOI
10 Y. K. Oh, H. S. Ru, J. Y. Heo, H. Y. Kim, D. H. Kim, "Infectious disease disaster response issues and policy implications based on COVID-19 infections cases", Issue paper, Vol.87, 2020.
11 B. S. Chon, "Perceived homophily by the Degree of self disclosure among SNS users", The Journal of the Korea Contents Association, Vol.12, No.12, pp.170-178, 2012. DOI: http://dx.doi.org/10.5392/JKCA.2012.12.12.170   DOI
12 C. Huang, Y. Wang, X. Li, L. Ren, J. Zhao, Y. Hu, B. Cao, "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China", The lancet, Vol.395, No.10223, pp.497-506, 2020. DOI: https://doi.org/10.1016/S0140-6736(20)30183-5   DOI
13 Textom, Bigdata solution Textom manual version 3.0. Seoul: The IMC, 2018.
14 B. Y. Lee, "Developments and future challenges of COVID-19", Weekly Financial Brief, Vol.29, No.11, pp.3-9, 2020.
15 Y. H. Kim, "From contact to untact: Marketing, beat the COVID-19!", Excellence Marketing for Customer, Vol.54, No.4, pp.9-17, 2020.
16 E. W. Lee, "Generation of COVID-19, Does mental health remain healthy?", Issue & Analysis, Vol.414, pp.1-25, 2020.
17 H. J. Ju, "Early childhood institute-related issues in the COVID-19 Pandemic using big data", Journal of Learner-Centered Curriculum and Instruction, Vol.20, No.22, pp.1085-1111, 2020. DOI: http://dx.doi.org/10.22251/jlcci.2020.20.22.1085   DOI
18 J. H. Ki, S. H. Ahn, "Application of sentiment analysis and topic modeling on rural solar PV issues : Comparison of news articles and blog posts", Journal of Digital Convergence, Vol.18, No.9, pp.17-27, 2020. DOI: http://dx.doi.org/10.14400/JDC.2020.18.9.017   DOI
19 H. J. Park, J. Y. Im, "Vaccine development trends and vaccine reserves for COVID-19", Environmental and Resource Economics Review, Vol.29, No.2, pp.273-292, 2020. DOI: https://doi.org/10.15266/KEREA.2020.29.2.273   DOI
20 S. C. Lee, "Analyzing early responses to COVID-19: Daegu case", The Korean Journal of Public Administration, Vol.29, No.3, pp.1-42, 2020. DOI: https://doi.org/10.22897/kipajn.2020.29.3.001   DOI
21 M. A. Oh, J. A. Jun, "Analysis of COVID-19's major issues based on social big data", Issue & Focus, Vol.376, pp.1-12, 2020.