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NTIS 바로가기정보화 정책 = Informatization policy, v.28 no.2, 2021년, pp.34 - 56
김효중 (Graduate School of Information, Yonsei University) , 김희웅 (Graduate School of Information, Yonsei University)
According to the Fourth Industrial Revolution, demand for and interest in jobs in the field of AI and data science - such as artificial intelligence/data analysts - are increasing. In order to keep pace with this trend, and to supply human resources that can effectively perform such jobs in the rele...
BCG (2020). "BCG on investing." March.
Blei, D. (2003). "Latent dirichlet allocation." Journal of machine learning research, 3(4), 993-1022.
Blei, D. (2012). "Probabilistic topic models." Communications of the ACM, 55(4), 24-27.
Choi, B. (2016). "Study on Core Competency Improvement of University Students and Its Related Factors based on the Desired Talents of Companies." Doctor's Thesis, Sogyung University.
Choi, I. & Shin, E. (2019). "An Empirical Study of the Determinants of Successful Job Seeking of College Students." Korea Economic Education Association, 23(1), 23-49.
Deming, D. & Kahn, L. (2018). "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for professionals." Journal of Labor Economics, 36(S1), 337-360.
Desmet, P. & Hekkert, P. (2007). "Framework of Product Experience." International Journal of Design, 1(1), 13-23.
Frey, C. & Osborne, M. (2017). "The Future of Employment: How Susceptible are Jobs to Computerisation?" Technological Forecasting and Social Change, 114, 254-280.
Guo, Y., Barnes, S. & Jia, Q. (2017). "Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent dirichlet allocation." Tourism Management, 59, 467-483.
Jung, Y. & Suh, Y. (2019). "Mining the voice of employees: A text mining approach to identifying and analyzing job satisfaction factors from online employee reviews." Decision Support Systems, 123, 1-12.
Karakatsanis, L., AlKhader, W., MacCrory, F. & Alibasic, A. (2017). "Data mining approach to monitoring the requirements of the job market: A case study." Information Systems, 65, 1-6.
Kim, J. & Huh, J. (2018). "Analysis of Occupation and Job Change in SW Field using Job Posting Data." The Korean Institute of Information Scientists and Engineers, 36(9), 15-21.
Kim, H. & Lee, H. (2016). "Trend Analysis of Data Mining Research Using Topic Network Analysis." The Korean Society Of Computer And Information, 21(5), 141-148.
Kim, S. (2020). "A Study on the Similarity between the Self-introduction and the Talent of the company Using Text Mining." Master's Thesis, Soongsil University.
Korea Employment Information Service(KEIS). (2019). Future job prospects of the 4th industrial revolution. Seoul: Korea Employment Information Service(KEIS).
Korea Employment Information Service(KEIS). (2020). Analysis of skill mismatch of IT technology workers in the IT service industry. Seoul: Korea Employment Information Service(KEIS).
Lau, J. (2014). Machine reading tea leaves: automatically evaluating topic coherence and topic model quality. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics.
Lin, C. & He, Y. (2009). Joint sentiment/topic model for sentiment analysis. In Proceedings of the 18th ACM conference on Information and knowledge management.
Mckensey (2020). "The recovery will be digital." August.
Mimno, D. (2011). Optimizing semantic coherence in topic models. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing.
Newman, M. (2010). Networks : An Introduction. Oxford University Press.
Shin, J., Choi, J. & Koh, W. (2015). "A study on the Use of Learning Analytics in Higher Education: Focusing on the perspective of professors." Journal of Educational Technology, 31(2), 223-252.
Steyvers, M. & Griffiths, T. (2007). "Probabilistic topic models." Handbook of latent semantic analysis, 427(7), 424-440.
Xianghua, F., Guo, L., Yanyan, G. & Zhiqiang, W. (2013). "Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon." KnowledgeBased Systems, 37, 186-195.
Yun, Y. & Ji, H. (2015). "A development of Open Social Learning Platform for learning analytics and educational data mining." Journal of Institute of Information Scientists and Engineers, 23(12), 1349-1351.
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