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http://dx.doi.org/10.22156/CS4SMB.2021.11.09.017

A Trend Analysis and Policy proposal for the Work Permit System through Text Mining: Focusing on Text Mining and Social Network analysis  

Ha, Jae-Been (Business Analytics and Information Systems, Ajou University)
Lee, Do-Eun (Legal Research Institute, Korea University)
Publication Information
Journal of Convergence for Information Technology / v.11, no.9, 2021 , pp. 17-27 More about this Journal
Abstract
The aim of this research was to identify the issue of the work permit system and consciousness of the people on the system, and to suggest some ideas on the government policies on it. To achieve the aim of research, this research used text mining based on social data. This research collected 1,453,272 texts from 6,217 units of online documents which contained 'work permit system' from January to December, 2020 using Textom, and did text-mining and social network analysis. This research extracted 100 key words frequently mentioned from the analyses of data top-level key word frequency, and degree centrality analysis, and constituted job problem, importance of policy process, competitiveness in the respect of industries, and improvement of living conditions of foreign workers as major key words. In addition, through semantic network analysis, this research figured out major awareness like 'employment policy', and various kinds of ambient awareness like 'international cooperation', 'workers' human rights', 'law', 'recruitment of foreigners', 'corporate competitiveness', 'immigrant culture' and 'foreign workforce management'. Finally, this research suggested some ideas worth considering in establishing government policies on the work permit system and doing related researches.
Keywords
Employment Permit System; Trend Analysis; Text Mining; TF-IDF; Degree Centrality; Social Network Analysis;
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