References
- Blei, D., and Lafferty, J.D. (2009). Topic Models, Text Mining: Classification, clustering, and application, 10(71), 1-34. https://doi.org/10.1201/9781420059458.ch4
- Blei, D., Ng, M., and Jordan, M. (2003). Latent Dirichlet allocation, Journal of Machine Learning Research, 3, 993-1022
- Griffiths, T.L., and Steyvers, M. (2004), Finding scientific topics, Proceedings of the National academy of Sciences, 101(1), 5228-5235 https://doi.org/10.1073/pnas.0307752101
- Ha, Y.C. (2021). Recent Trends in Sulfide Solid Electrolyte Technology for the Practical Development of All-Solid-State Batteries, Journal of the Korean Battery Society, 1(1), 76-80. https://doi.org/10.53619/KOBS.2021.06.1.1.76
- Hussain, A., Kim, C., Battsengel, G., and Jeon, J. (2021). Analyzing Technological Trends of Smart Factory using Topic Modeling. Asian Journal of Innovation & Policy, 10(3).
- Joo, D.Y. (2018). The Current Status and Development Issues of the Domestic Secondary Battery Industry, Sejong: Korea Institute for Industrial Economics and Trade.
- Kang, M.S., Park, J.H., Kim, H.O., and Kim, H.J. (2019). A Study on the Alignments Analysis Between Strategy and Budget of the Government R&D's Major Sectors, Seoul: Korea Institute of Science & Technology Evaluation and Planning.
- Kim, G.C., and Noh, H.J. (2019). Research Trends of Regional Geography Education Using Topic Modeling", Journal of the Korean Social Studies Association, 58(4), 49-67. https://doi.org/10.37561/sse.2019.12.58.4.49
- Kim, H.J., Cho, N.O., and Shin, K.S. (2015). Text Mining-Based Emerging Trend Analysis for the Aviation Industry, Journal of Intelligence and Information Systems, 21(1), 65-82. https://doi.org/10.13088/JIIS.2015.21.1.65
- Kim, J.W. (2022). Solid-State Batteries as Next-Generation Batteries, Daejeon: Korea Institute of Science and Technology Information.
- Kim, K.S. (2017). Research and Development Trends in Solid Electrolytes and Solid-State Batteries for Enhanced Safety in High-Energy Secondary Batteries, Journal of the Korean Institute of Electrical and Electronic Material Engineers, 30(7), 20-31.
- Kwon, K.S., and Kim, S.Y. (2023). Analysis of socio-economic issues of ChatGPT based on LDA topic modeling, Journal of Korea Technology Innovation Society, 26(4), 593-612. https://doi.org/10.35978/jktis.2023.8.26.4.594
- Lee, J.Y., and Lee, B.H. (2022). Sentiment Analysis and Issue Mining on All-Solid-State Battery Using Social Media Data, The Journal of the Korea Contents Association, 22(10), 11-21. https://doi.org/10.5392/JKCA.2022.22.10.011
- Lee, M.J., Han, J.H., Lee, K.B., Lee, Y.J., Kim, B.G., Jung, K.N., Kim, B.J., and Lee, S.W. (2022). Elastomeric electrolytes for high-energy solid-state lithium batteries, Nature, 601, 217-222 https://doi.org/10.1038/s41586-021-04209-4
- Lee, K.S., and Park, J.W. (2022). Solid-State Batteries, Seoul: Korea Institute of Science & Technology Evaluation and Planning.
- Ministry of Science and ICT (2022). Measures to Foster 12 Major National Strategic Technologies, Sejong: Ministry of Science and ICT.
- Ministry of Trade, Industry and Energy (2023). Measures for the Implementation of the Industrial Transformation Leading-Edge Project, Sejong: Ministry of Trade, Industry and Energy.
- Park, J.H., Kang, M.S., Kim, Y.J., and Kim, H.H. (2018). A Study on Government R&D Strategy and Investment Using Text Mining Analysis, Korea Technology Innovation Society 2018 Fall Conference Proceedings, 648-694.
- Park, S.B. (2022). Recent Advances in Interface Engineering for All-Solid-State Batteries, Journal of the Korean Ceramic Society, 25(1), 104-121. https://doi.org/10.31613/ceramist.2022.25.1.03
- Relevant government ministries (2021). 2030 Secondary Battery Industry (K-Battery) Development Strategies.