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http://dx.doi.org/10.6109/jkiice.2022.26.11.1751

Non face-to-face News Articles Keyword Using Topic Modeling  

Shin, Ari (My Paul School, Education administration)
Hwangbo, Jun Kwon (My Paul School, Education administration)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.11, 2022 , pp. 1751-1754 More about this Journal
Abstract
The news articles collected with keyword "non face-to-face" were analyzed through topic modeling applied with LDA algorithm. In this study, collected articles were divided into two periods, period 1(the beginning of COVID-19 spread) and period 2(the end of COVID-19 spread), according to issued date of the articles. The articles of period 1 showed support for non-face-to-face treatment, smart library, the beginning of the online financial era, non-face-to-face entrance exam and employment, stock investment for main topic words. And the articles of period 2 showed conversion to non face-to-face classes, increasing unmanned stores, online finance, education industry, home treatment for main topic words. Also, further issues were discussed through visualization of topic words. These results provide evidence that education and unmanned business in non-face-to-face industries are growing.
Keywords
Topic modeling; LDA; Non face-to-face; COVID-19; Text mining;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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