Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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A Trend Analysis and Policy proposal for the Work Permit System through Text Mining: Focusing on Text Mining and Social Network analysis

텍스트마이닝을 통한 고용허가제 트렌드 분석과 정책 제안 : 텍스트마이닝과 소셜네트워크 분석을 중심으로

  • Ha, Jae-Been (Business Analytics and Information Systems, Ajou University) ;
  • Lee, Do-Eun (Legal Research Institute, Korea University)
  • 하재빈 (아주대학교 비즈니스애널리틱스전공) ;
  • 이도은 (고려대학교 법학연구원)
  • Received : 2021.06.29
  • Accepted : 2021.09.20
  • Published : 2021.09.28
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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.

본 연구에서는 고용허가제에 대한 이슈와 국민적 인식을 확인하고 정책을 제언하기 위해 소셜데이터를 기반으로 한 텍스트마이닝 기법을 활용하고자 하였다. 이를 위해 2020년 1월부터 2020년 12월까지 1년 동안 온라인상에서 '고용허가제'가 언급되는 6,217개의 문서의 텍스트 1,453,272개를 텍스톰(Textom)을 통해 수집하여 텍스트마이닝과 소셜네트워크 분석을 수행하였다. 데이터 상위 키워드 빈도, TF-IDF(Term Frequency - Inverse Document Frequency) 분석, 연결중심성 분석으로 언급량이 많은 키워드 100개를 도출하였으며, 일자리 문제, 정책과정의 중요성, 산업관점의 경쟁력, 외국인근로자 생활 개선을 주요한 키워드로 구성하였다. 또한, 의미연결망 분석을 통해 '고용정책'과 같은 주요인식과 '국제협력', '노동자 인권', '법률', '외국인 채용', '기업 경쟁력', '이주민 문화', '외국인력 관리'와 같은 주변인식을 파악하였다. 끝으로 고용허가제에 관한 정책 수립과 관련 연구를 진행하는데 있어서 고려해야 할 요소를 제안하였다.

Keywords

References

  1. H. U. Lee. (2015). The Employment Permit System and Spatial Distribution of Migrant Workers in Korea. Journal of the Korean Urban Geographical Society, 18(3), 57-74. DOI : G704-001360.2015.18.3.001
  2. D. C. Lee, D. H. Seol, J. W. Kang, B. C. Yu, W. J. Kim & C. J. Mun. (2011). A study on adding types of business for employment permits of foreigner. Seoul: Korea Employment Information Service. DOI : 978-89-6331-320-7 93320
  3. Y. S. Son. (2013). Improvement Plan on Employment Permit System for Foreign Workers, Law Review, 49, 1-23. DO I: I410-ECN-0101-2014-360-003124929
  4. T. Y. Kim, Y. Kim & H. J. Oh. (2017). An Analysis of the Relationship between Public Opinion on Social Bigdata and Results after Implementation of Public Policies: A Case Study in 'Welfare' Policy, Journal of Digital Convergence, 15(3), 17-25. DOI : 10.14400/JDC.2017.15.3.17
  5. Y. R. Jung & J. E. Kang. (2019). Analysis of Social Big Data to Support the Development of Climate Change Policy. Journal of Environmental Policy and Administration, 27(4), 211-239. DOI : 10.15301/jepa.2019.27.4.211
  6. S. J. Im & D. G. Park. (2018). Establishment plan of promotion policy for disaster-safety industry based on social media analysis. Journal of Technology Innovation, 26(1), 31-57. DOI : 10.14383/SIME.2018.26.1.31
  7. H. C. Roh.(2019). Legal and Policy Issues on the Foreign Worker Employment. Journal of Labour Law (70), 179-230. DOI : I410-ECN-0101-2019-336-000859112
  8. B. H. Lee. (2011). The Freedom of Choice to foreign Worker's Workplace. World constitutional Law Review, 17(3), 55-78. DOI : G704-001436.2011.17.3.003
  9. Ministry of Employment and Labor. (2021). Quota on Foreign Workers by year. Employment Permit System (Online). http://eps.go.kr
  10. Ministry of Employment and Labor. (2021). Trend of Employment in Employment Permit System. ENational Index (Online).. https://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1501
  11. M. M. Kang.. (2012). Analysis and Utilization of Big Data. Communications of the Korean Institute of Information Scientists and Engineers, 30(6), 25-32.
  12. A. Hotho, A. Nurnberger & G. Paass. (2005). A brief survey of text mining. In Ldv Forum, 20(1), 19-62.
  13. G. Chakraborty, M. Pagolu & S. Garla. (2014). Text mining and analysis: Practical methods, examples, and case studies using SAS. Cary : SAS Institute.
  14. M. W. Berry & M. Castellanos. (2004). Survey of text mining. Computing Reviews, 45(9), 548.
  15. O. M. Jung. (2019). A Topic Modeling Analysis from the 'Aging' Keyword of Domestic Academic Research. Korean management Review, 48(2), 515-532. DOI : 10.17287/kmr.2019.48.2.515
  16. J. S. Park, N. R. Kim & E. J. Han. (2018). Analysis of Trends in Science and Technology using Keyword Network Analysis. Journal of the Korea Industrial Information Systems Research, 23(2), 63-73. DOI : I410-ECN-0101-2018-530-002045861 https://doi.org/10.9723/JKSIIS.2018.23.2.063
  17. J. C. Mitchell. (1969). The concept and use of social networks. Social Networks in Urban Situations. Indianapolis : Bobbs-Merrill
  18. Y. H. Kim. (2003). Social network analysis. Seoul : Pakyoungsa.
  19. J. S. Kim. (2012). Big data Utilization and related Technique and Technology Analysis. Review of Korea Contents Association, 10(1), 34-40. DOI : I410-ECN-0101-2013-004-001669920 https://doi.org/10.5392/JKCA.2012.12.03.034
  20. H. K. Yoon. (2013). Research on the Application Methods of Big Data within the Cultural Industry. The Journal of Global Cultural Contents, 10, 157-179. DOI : G704-SER000003070.2013..10.006
  21. D. Hansen, B. Shneiderman & M. A. Smith. (2010). Analyzing social media networks with NodeXL: Insights from a connected world. Burlington : Morgan Kaufmann.
  22. S. H. Cho. (2018). A study on analysis of the trend of blockchain by key words network analysis. The Journal of Korea Institute of Information, Electronics, and Communication Technology, 11(5), 550-555. DOI : 10.17661/jkiiect.2018.11.5.550
  23. Y. L. Kim. (2020). A Study on Changes in the Perception of Pro-Football through the Analysis of Network Big Data. The Korean Society of Sports Science, 29(6), 385-399. DOI : 10.35159/kjss.2020.12.29.6.385
  24. Y. H. Kim & S. S. Lee. (2019). A Qualitative Study to Find the Meaning and to Search the Development Plan of Field Consultation for Employment Permit System. Journal of Multi-Cultural Contents Studies, 31, 173-212. DOI : 10.15400/mccs.2019.08.31.173
  25. H. K. Kim & I. H. Song. (2018). Research on Measures for Enhancing the Development Effectiveness of Korea's Non-ODA Policies. International Development and Cooperation Review, 10, 475-497. DOI : 10.32580/idcr.2018.10.3.475
  26. A. N. Kim & S. A. Choi. (2017). Factors Affecting the Life Satisfaction of Foreign Workers in Korea : Focusing on Educational Mismatch, Discrimination and Empowerment. Korean Journal of social welfare studies, 48(2), 331-357. DOI: I410-ECN-0102-2018-300-000564589 https://doi.org/10.16999/kasws.2017.48.2.331
  27. H. C. Roh.. (2015). A Legal Review on some Issues to the Employment of Foreign Workers. Administrative Law Journal, (43), 193-222. DOI : I410-ECN-0101-2016-363-002144739
  28. Y. G. Nho. (2017). How Does the Use of Low-skilled Migrant Workers Affect Firm Performance of SMEs?. .Korean Journal of Industrial Relations, 27(4), 107-132. DOI : 10.37926/KJIR.2017.12.27.4.107
  29. D. H. Kim, & G. S. Ha, (2011). A study on the Influence of Acculturation and Organizational Fairness on the Organizational Commitment of Foreign Labore. The Journal of the Korea Contents Association, 11(9), 187-201. DOI : 10.5392/JKCA.2011.11.9.187
  30. E. M. Chang. & J. W. Lee. (2019). Organizational Citizenship Behaviors of Low-Skilled Immigrant Workers under Employment Permit System: Integrating Cultural Adjustment and Social Support Perspectives. Asia Pacific Journal of Small Business, 41(3), 107-128. DOI : 10.36491/APJSB.41.3.6