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Exploring Digital Transformation Trends: Topic Modeling Analysis of News Big Data between 1994 and 2021
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토픽 모델링 기반 디지털 전환(Digital Transformation) 동향 분석 : 1994~2021년 뉴스 빅데이터를 중심으로

논문 기본 정보

Type
Academic journal
Author
Taejong Kim (한국과학기술정보연구원) Woncheol Lee (한국과학기술정보연구원) Sohyun Heo (한국과학기술정보연구원) Hyejin Park (한국과학기술정보연구원) Yuri Lee (한국과학기술정보연구원) Haejin Kang (한국과학기술정보연구원) Buyoung Ahn (한국과학기술정보연구원)
Journal
Digital Contents Society Journal of Digital Contents Society Vol.23 No.5 KCI Accredited Journals
Published
2022.5
Pages
929 - 942 (14page)
DOI
10.9728/dcs.2022.23.5.929

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Exploring Digital Transformation Trends: Topic Modeling Analysis of News Big Data between 1994 and 2021
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Abstract· Keywords

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The present study identifies domestic digital transformation trends by exploring related main keywords and topics and suggests implications. In order to achieve this goal, this research conducted topic modeling analysis on digital transformation news big data reported from 1994 to 2021. As a result, the following topics appeared: (a) training human resources in digital transformation; (b) reorganization of the financial sector through digital transformation; (c) activating cooperation based on digital transformation technology; (d) digital transformation of analog broadcasting; and (e) accelerating digital transformation in manufacturing/heavy industry. Consequently, this study suggests the need for the training of professional human resources leading the digital transformation, social interest for the digitally underprivileged, and support for digital literacy education. It also calls for strengthening security and personal information protection, activating communication with the public regarding digital transformation, and establishing a cooperative system among industry, academia, research institutes, and government agencies.
#디지털 전환 #트렌드 #뉴스 빅데이터 #토픽 모델링 #Digital Transformation #Trend #News Big Data #Topic Modeling #LDA

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 선행연구 검토
Ⅲ. 연구 방법
Ⅳ. 연구 결과
Ⅴ. 결론
참고문헌

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