分析韩国社交媒体数据的数字化转型趋势:语义网络分析

IF 3.7 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jong-Hwi Song, Byung-Suk Seo
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引用次数: 0

摘要

本研究通过分析韩国社交媒体数据,探讨数字化转型对韩国社会的影响,重点关注数字技术进步引发的社会和经济效应。利用文本挖掘技术和语义网络分析,我们从在线新闻和博客中提取了关键术语及其关系,确定了与数字化转型相关的主要主题。我们的分析基于使用各种相关搜索词从韩国主要门户网站收集到的数据,深入揭示了数字化发展如何影响个人、企业和政府部门。研究结果提供了数字化转型中出现的技术和社会趋势的全面视角,包括其对政策、经济和教育的影响。这项研究不仅揭示了韩国对数字化转型的理解和战略方法,还展示了社交媒体数据在分析技术进步对社会影响方面的潜力,为未来研究有效驾驭数字化变革时代提供了宝贵资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis
This study explores the impact of digital transformation on Korean society by analyzing Korean social media data, focusing on the societal and economic effects triggered by advancements in digital technology. Utilizing text mining techniques and semantic network analysis, we extracted key terms and their relationships from online news and blogs, identifying major themes related to digital transformation. Our analysis, based on data collected from major Korean portals using various related search terms, provides deep insights into how digital evolution influences individuals, businesses, and government sectors. The findings offer a comprehensive view of the technological and social trends emerging from digital transformation, including its policy, economic, and educational implications. This research not only sheds light on the understanding and strategic approaches to digital transformation in Korea but also demonstrates the potential of social media data in analyzing the societal impact of technological advancements, offering valuable resources for future research in effectively navigating the era of digital change.
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来源期刊
Big Data and Cognitive Computing
Big Data and Cognitive Computing Business, Management and Accounting-Management Information Systems
CiteScore
7.10
自引率
8.10%
发文量
128
审稿时长
11 weeks
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