한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제26권11호
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  • Pages.1751-1754
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  • 2022
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  • 2234-4772(pISSN)
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  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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토픽모델링을 이용한 비대면 신문 기사 키워드 분석

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

  • 투고 : 2022.09.08
  • 심사 : 2022.10.04
  • 발행 : 2022.11.30
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초록

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.

키워드

참고문헌

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