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A topic modeling analysis for Korean online newspapers: Focusing on the social perceptions of nurses during the COVID-19 epidemic period |
Soo Jung Chang, Sunah Park, Yedong Son |
J Korean Acad Soc Nurs Educ. 2022;28(4):444-455. Published online November 30, 2022 DOI: https://doi.org/10.5977/jkasne.2022.28.4.444 |
Corrigendum: A topic modeling analysis for Korean online newspapers: Focusing on the social perceptions of nurses during the COVID-19 epidemic period A topic modeling analysis for Korean online newspapers: Focusing on the social perceptions of nurses during the COVID-19 epidemic period Analysis of Media Articles on COVID-19 and Nurses Using Text Mining and Topic Modeling Topic Modeling and Keyword Network Analysis of News Articles Related to Nurses before and after “the Thanks to You Challenge” during the COVID-19 Pandemic Images of Nurses Appeared in Media Reports Before and After Outbreak of COVID-19: Text Network Analysis and Topic Modeling Shifting Conversations on Online Distance Education in South Korean Society During the COVID-19 Pandemic: A Topic Modeling Analysis of News Articles Students Perceptions, System Characteristics and Online Learning During the COVID-19 Epidemic School Disruption A Topic Modeling Analysis for Online News Article Comments on Nurses' Workplace Bullying Sentiment Analysis and Topic Modeling of Social Media Data to Understand the Response of Indonesian Public regarding the Enforcement of the Lockdown Policy during Covid-19-Pandemic Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling |