KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
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A Comparative Analysis of the Changes in Perception of the Fourth Industrial Revolution: Focusing on Analyzing Social Media Data

4차 산업혁명에 대한 인식 변화 비교 분석: 소셜 미디어 데이터 분석을 중심으로

  • 유재은 (서울대학교 행정대학원) ;
  • 최종우 (경상대학교 식품자원경제학과)
  • Received : 2020.07.29
  • Accepted : 2020.08.22
  • Published : 2020.11.30
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Abstract

The fourth industrial revolution will greatly contribute to the entry of objects into an intelligent society through technologies such as big data and an artificial intelligence. Through the revolution, we were able to understand human behavior and awareness, and through the use of an artificial intelligence, we established ourselves as a key tool in various fields such as medicine and science. However, the fourth industrial revolution has a negative side with a positive future. In this study, an analysis was conducted using text mining techniques based on unstructured big data collected through social media. We wanted to look at keywords related to the fourth industrial revolution by year (2016, 2017 and 2018) and understand the meaning of each keyword. In addition, we understood how the keywords related to the Fourth Industrial Revolution changed with the change of the year and wanted to use R to conduct a Keyword Analysis to identify the recognition flow closely related to the Fourth Industrial Revolution through the keyword flow associated with the Fourth Industrial Revolution. Finally, people's perceptions of the fourth industrial revolution were identified by looking at the positive and negative feelings related to the fourth industrial revolution by year. The analysis showed that negative opinions were declining year after year, with more positive outlook and future.

4차 산업혁명은 빅데이터, 인공지능 등의 기술을 통해 사물들이 지능화 사회로 진입하는데 크게 기여한다. 혁명을 통해 인간의 행태와 인지를 파악할 수 있게 되었고, 인공지능의 활용을 통해 의료, 과학 등 다양한 분야에서 핵심 도구로서 자리매김하였다. 그러나 4차 산업혁명에는 긍정적인 미래와 함께 부정적인 이면이 자리 잡고 있다는 점에 주목하여, 본 연구에서는 소셜 미디어를 통해 수집된 비정형적인 빅데이터를 기반으로 텍스트 마이닝 기법을 활용한 분석을 실시하였다. 연도별(2016년, 2017년, 2018년) 4차 산업혁명과 관련된 키워드를 살펴보고, 각 키워드가 가지고 있는 의미에 대해 파악하고자 하였다. 또한, 연도의 변화에 따라 4차 산업혁명과 관련된 키워드가 어떻게 변화하는지 파악하였으며, R을 활용하여 키워드 연관 분석(Association Analysis)을 실시함으로써 4차 산업혁명과 연관된 키워드 흐름을 통해 4차 산업혁명과 밀접하게 연관된 인식 흐름을 알아보고자 하였다. 마지막으로 연도별 4차 산업혁명과 관련한 긍정적, 부정적인 감정을 살펴봄으로써 4차 산업혁명에 대한 사람들의 인식을 파악하였다. 분석결과, 부정적인 의견은 연마다 감소하고 있었으며 긍정적인 전망과 미래가 더 많아지는 것으로 나타났다.

Keywords

References

  1. K. Schwab, The Fourth Industrial Revolution. Danvers, MA:Crown Publishing, 2017.
  2. J. H. Kim, "The 4th Industrial Revolution Era, Seeking Strategic Responses to Future Social Change," KISTEP InI, Vol.15, pp.45-58, 2017.
  3. H. S. Jin and K. D. Nam, "An Effect of Entrepreneurship, Technology Readiness, and Technical Commercialization Capability on the Perception and Intent to Use of the Fourth Industrial Revolution," Journal of International Trade & Commerce, Vol.13, No.5, pp.309-327, 2017.
  4. S. M. Rue, "BigData Effects on Artificial Intelligence," Korean Institute of Information Technology, Vol.14, No.1, pp.29-34, 2016.
  5. K. S. Noh and J. Y. Lee, "A Study on Analysis of the Differences for Perception of Big Data in Era of Convergence," Journal of Digital Convergence, Vol.13, No.10, pp.305-312, 2015. https://doi.org/10.14400/JDC.2015.13.10.305
  6. H. S. Lee, D. W. Lim, and H. J. Zo, "Personal Information Overload and User Resistance in the Big Data Age," The Journal of Intelligence and Information Systems, Vol.19, No.1, pp.125-139, 2013. https://doi.org/10.13088/jiis.2013.19.1.125
  7. C. B. Frey and M. A. Osborne, "The Future of Employment:How Susceptible are Jobs to Computerisation?," Technological Forecasting and Social Change, Vol.114, pp.254-280, 2017. https://doi.org/10.1016/j.techfore.2016.08.019
  8. J. E. You, "Survey on the Perception of youth Generation on the 4th Industrial Revolution," Presidential Committee on Young Generation Report, 2016.
  9. J. H. Ryu and Y. W. Yoo, "The Fourth Industrial Revolution Core Technology Association Analysis Using Text Mining," Journal of Digital Convergence, Vol.16, No.8, pp.129-136, 2018. https://doi.org/10.14400/JDC.2018.16.8.129
  10. D. B. Jung and B. I. Kim, "A Study on Open Innovation and Innovation Performance: Focusing on Manufacturing Industry in South Korea," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol.7, No.1, pp.69-76, 2017.
  11. J. H. Lee and Y. S. Kim, "Awareness on 4th Industrial Revolution of Dental Hygienists for Future Medical Convergence," Jounal of the Korea Convergence Society, Vol.9, No.10, pp.131-139, 2018.
  12. K. H. Jung and B. S. Song, "A Study on the Awareness of Assistive Technology Professional about the 4th Industrial Revolution," Journal of Special Education & Rehabilitation Science, Vol.57, No.1, pp.373-393, 2018. https://doi.org/10.23944/jsers.2018.03.57.1.17
  13. K. R. Joen, "A Study on the Recognition of Content Industry Plicies in the 4th Industrial Era," The Korean Journal of Animation, Vol.15, No.2, pp.122-142, 2019. https://doi.org/10.51467/ASKO.2019.06.15.2.122
  14. C. B. Lee, J. H. Noh, and J. H. Kim, "A Study on the Perception of the Impact of Fourth Industrial Revolution on the Performance of Logistics Management," Korea Logistics Review, Vol.27, No.5, pp.1-12, 2017.
  15. J. W. Byeon, "A Study of The 4th Industrial Revolution's Impact on Cultural Industry," Journal of Korea Culture Industry, Vol.17, No.3, pp.109-118, 2017.
  16. M. H. Jang, "Music Production 4.0," Journal of Culture Industry, Vol.17, No.3, pp.39-43, 2017.
  17. H. S. Baek and J. Y. Yoo, "Seeking for a Curriculum of Dance Department in the University in the Age of the 4th Industial Revolution," Journal of the Korea Entertainment Industy Association, Vol.13, No.3, pp.193-202, 2019.
  18. K. A. Lee and J. Y. Lee, "A Study on Open Innovation Design Process for Teenagers in the 4th Industrial Revolution," Journal of Industrial Design, Vol.13, No.3, pp.61-69, 2019.
  19. S. H. Kim, S. W. Choi and S. P. Hong, "Development Direction of Defense Weapon System for the 4th Industrial Revolution," The Korean Society of Industrial Application, Vol.22, No.2, pp.71-79, 2019. https://doi.org/10.37926/KJIR.2019.12.29.4.71
  20. S. H. Yun, "The Fourth Industrial Revolution and the Future of food industy," Food Science and Industy, Vol.50, No.2, pp.60-73, 2017.
  21. S. H. Kim, J. H. Lee, Y. M. Kim, K. L. Dong and H. S. Kim, "Analysis of Medical Field Trends during the 4th Industrial Revolution and Recognition of Radiological Technologist," Journal of Radiation Industry, Vol.12, No.1, pp.43-49, 2018.
  22. G. J. Lee, "Agricultural Changes to the Fourth Industrial Revolution: Finding the Realistic 'A Countermeasures' Together," The Korean Society for Seed Science & Industry, Vol.14, No.2, pp.43-44, 2018.
  23. J. S. Hong and I. G. Oh, "Image Difference of before and after an Incident using Social Big Data analysis: Focusing on a Ramp Return of "K"," International Journal of Tourism and Hospitality Research, Vol.30, No.6, pp.119-133, 2016.
  24. A. L. Lee, J. S. Bang, and Y. H. Kim, "A Design of a TV Advertisement Effectiveness Analysis System Using SNS Big-data," KIISE Transactions on Computing Practices (KTCP), Vol.21, No.9, pp.579-586. 2015. https://doi.org/10.5626/KTCP.2015.21.9.579
  25. Y. S. Choi and H. M. Kim, "The Influence of Public Diplomacy with Social Media on Country Image and Country Brands-Focusing on Cultural Contents," Journal of the Korea Contents Association, Vol.16, No.3, pp.426-438, 2016. https://doi.org/10.5392/JKCA.2016.16.03.426
  26. I. G. Oh, T. S. Lee, and C. N. Jeon, "A Study of Awareness of Korea Tourism through Big Data Analysis," Korean Journal of Tourism Research, Vol.39, No.10, pp.107-126, 2015.
  27. H. Y. Jeon, "Analysis of Employment Trends of Disabilities through Big Data: Focusing on SNS and Online News," Disability & Employment, Vol.29, No.2, pp.55-82, 2019. https://doi.org/10.15707/DISEM.2019.29.2.003
  28. L. J. Kim and J. Y. Lim, "The way to Measure Trust Ratio of Text in Opinion Mining," in Proceedings of the Korean Institute of Information Scientists and Engineers Korea Computer Congress, 2011, pp.135-138.
  29. S. J. Cha, J. W. Kang, and J. H. Choi, "A Study on Social Media Opinion Mining Based Enterprise Crisis Management," in Proceedings of the Korea Computer Congress, pp.142-144, 2012.
  30. S. A. Kang, Y. S. Kim, and S. H. Choi, "Study on the Social Issue Sentiment Classification using Text Mining," Journal of the Korean Kata Information Science Society, Vol.26, No.5, pp.1167-1173, 2015. https://doi.org/10.7465/jkdi.2015.26.5.1167
  31. G. S. Song, H. Y. Noh, and S. J. Lee, "Recommendation of Emotion-based Service by using SNS: A Case of Movie Industry," Journal of the Korea Management Engineers Society, Vol.20, No.2, pp.91-104, 2015.
  32. S. H. Ryu, Y. H. Kim, and U. M. Kim, "Sentiment Analysis & Movie Recommendation: Using Amazon Movie Reviews," in Procedings of the Korea Computer, pp.1834-1836, 2016.
  33. Y. J. Lee, J. H. Seo, and J. T. Choi, "Fashion Trend Marketing Prediction Analysis Based on Opinion Mining Applying SNS Text Contents," The Journal of Korean Institute of Information Technology, Vol.12, No.12, pp.163-170, 2014.
  34. J. Y. Chang, "A Sentiment Analysis Algorithm for Automatic Product Reviews Classification in On-Line Shopping Mall," Society for e-Business Studies, Vol.14, No.4, pp.19-33, 2009.
  35. Y. M. Kim, S. J. Jeong, and S. J. Lee, "A Study on the Stock Market Prediction Based on Sentiment Analysis of Social Media," Entrue Journal of Information Technology, Vol.13, No.3, pp.59-69, 2014.
  36. S. H. Jun, "A Big Data Preprocessing using Statistical Text Mining," Journal of Korean Institute of Intelligent Systems, Vol.25, No.5, pp.470-476, 2015. https://doi.org/10.5391/JKIIS.2015.25.5.470
  37. H. G. Jun, G. S. Hyun, K. B. Lim, W. H. Lee, and H. J. Kim, "Big Data Preprocessing for Predicting Box Office Success," KIISE Transactions on Computing Practices, Vol.20, No.12, pp.615-622, 2014. https://doi.org/10.5626/KTCP.2014.20.12.615
  38. J. S. Kim and S. H. Jin, "A Study on the Application of Opinion Mining Based on Big Data," Journal of the Korean Data Analysis Society, Vol.15, No.1, pp.101-113, 2013.
  39. E. H. Jeong and B. K. Lee, "A Design of SNS Emotional Information Analysis Strategy based on Opinion Mining," Journal of Korea Institute of Information, Electronics, and Communication Technology, Vol.8, No.6, pp.544-550, 2015. https://doi.org/10.17661/jkiiect.2015.8.6.544
  40. J. S. Nam, "Study on Linguistic Patterns of Online Reviews on Movie for the Automatic Classification of Human Opinion," Journal of the Linguistic Society of Korea, Vol.58, pp.75-103, 2010.