References
- Adeva, J.J.G. and Calvo, R.A., Mining Text with Piminto, IEEE Internet Computing, 2006, Vol.10, No.4, pp. 27-35. https://doi.org/10.1109/MIC.2006.85
- Ahn, S.J. and Yoo, W.J., Introduction to Natural Language Processing Using Deep Learning. WikiDocs (Webbook). https://wikidocs.net/21698. (Accessed: Jul 9, 2023.)
- Blei, D.M., Ng, A.Y., and Jordan, M.I., Latent Dirichlet Allocation, Journal of Machine Learning Research, 2003, Vol. 3, pp. 993-1022.
- Centrality, https://bigdata-analyst.tistory.com/319 (Accessed: Jul 12, 2023.).
- Chakraborty, G., Pagolu, M., and Garla, S., Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS, SAS Institute, 2014.
- Deepak Sharma, Bijendra Kumar, Satish Chand. 2018. "Trend Analysis in Machine Learning Research Using Text Mining." International Confernece on Advances in Computing, Comminication Control and Networking (ICACCCN2018).
- Gokhberg, L., Kuzminov, I., Khabirova, E., and Thurner, T., Advanced text-mining for trend analysis of Russia's Extractive Industries, Futures, 2020, Vol.115.
- Griffiths, T.L. and Steyvers, M., Finding scientific topics, Proceedings of the National Academy of Sciences, 2004, Vol. 101, pp. 5228-5235. https://doi.org/10.1073/pnas.0307752101
- Kim, D.H., Analysis of FinTech and Digital Financial Service Trends in the New Normal Era through Text Mining. [dissertation], [Seoul, Koea]: Sookmyung Women's University, 2021
- Kim, D.H., How text is analyzed, Statistics Korea, Statistics Training Institute, 2017.
- Kim, H.W. and Song, J.W., Analysis of Quantum Mechanics Related Articles Using Topic Modeling: A Comparison of LDA, CTM, and STM Models, New Physics: Sae Mulli, 2020, Vol. 70, No. 5, pp. 493-502. https://doi.org/10.3938/NPSM.70.493
- Kim, J.H. and Kim, S.S., A Study on the Analysis of Agricultural R&D Keywords Using Textmining Method, Journal of the Korea Academia-Industrial Cooperation Society, 2021, Vol.22, No.2, pp. 721-732. https://doi.org/10.5762/KAIS.2021.22.11.721
- Kim, Y.H., Social Network Analysis, Park Youngsa, 2016.
- Kim, Y.H., Understanding and Application of Social Network Analysis Techniques: Network Structure, Clustering, and QAP, Korea Institute of Public Administration, 2020, Vol. 34, pp. 58-68.
- Lee, D.W., New Horizons for the Construction Machinery Industry, Auto Journal, 2021, pp. 39-42.
- Lee, S.J., Topic Analysis of Newspaper Articles on 'Elderly Employment' Using Latent Dirichlet Allocation, Journal of Digital Convergence, 2020, Vol.18, No.10, pp. 537-546. https://doi.org/10.14400/JDC.2020.18.10.537
- Lee, S.S., Yoo, I.H., and Kim, J.H., Social Perception of AI Education through Big Data Analysis: Focus on News Articles and Twitter, Korean Society for Digital Policy and Management, 2020, Vol. 18, No. 6, pp. 9-16.
- Lee, Y.S., A Study on Serviceization Research Topics Using Ontology and Text Mining. [dissertation], [Seoul, Koea]: Konkuk University, 2016.
- Lim, S.Y. and Kim, S., Analysis of Research Trends in Construction Automation Based on Text Mining Techniques, Korean Journal of Construction Engineering and Management, 2016, Vol. 17, No. 6, pp.13-23. https://doi.org/10.6106/KJCEM.2016.17.6.013
- Ministry of Land, Infrastructure and Transport, Basic Plan for Construction Technology Promotion, MOLIT, 2017.
- Ministry of Trade Industry and Energy, Korea Institute of Machinery & Materials, Machine industry development plan, MOTIE, 2022.
- Network Centrality Value - Degree, Betweenness, Eigenvector, Closeness. https://m.blog.naver.com/PostVi ew.naver?blogId=applwoods&logNo=222318849314&c ategoryNo=60&proxyReferer= (Accessed: Jul 12, 2023.).
- Oh, C.S., Lee, Y.T., and Ko, M.S., Establishment of ITS Policy Issues Investigation Method in the Road Section applied Textmining, The Journal of The Korea Institute of Intelligent Transportation Systems, 2016, Vol.15, No.6, pp.10-23. https://doi.org/10.12815/kits.2016.15.6.010
- Oh, S.H., Current Status and Future Directions of the Construction Machinery Industry, KEIT Industry Economy, 2023, pp.67-74.
- Woo, C.W. and Lee, J.Y., Exploring the Key Research Topics and Trends in the ICT Field through LDA Topic Modeling, Journal of the Korea Convergence Society, 2020, Vol. 11, No. 7, pp. 9-18. https://doi.org/10.15207/JKCS.2020.11.7.009