Acknowledgement
이 논문은 2021년도 산업통상자원부 산업혁신기반구축사업 재원으로 수행된 연구임.(P114000015)
References
- 김민수, 김희웅, "온라인 해킹 불법 시장 분석: 데이터 마이닝과 소셜 네트워크 분석 활용", 정보시스템연구, 제29권, 제2호, 2020, pp. 221-242.
- 매일신문, "다이텍연구원, '비대면 섬유소재 마케팅 플랫폼' 만든다", 신중언 기고, 2020.12.29.
- 대전일보, "[숲 사랑] 친환경 미래 소재, 나노 셀룰로스", 박현 기고, 2021.08.31.
- 박한샘, 김동현, 장성주, "Research Trend Analysis on Smart City Based on Structural Topic Modeling (STM)", 디지털콘텐츠학회논문지 (J. DCS), 제20권, 제9호, 2019, pp. 1839-1846.
- 최병설, 김남규, "감정 딥러닝 필터를 활용한 토픽 모델링 방법론", 정보시스템연구, 제28권, 제4호, 2019, pp. 271-291.
- 한국섬유산업연합회, "프리뷰 인 서울 2021 프레스 킷", 2021.
- 한국전자통신연구원(ETRI), "빅데이터 플랫폼의 산업생태계 현황과 주요 이슈", 김문구, 박종현, 2019, pp. 7-17.
- 홍태호, 임강, 박지영, "Lda를 이용한 온라인 리뷰의 다중 토픽별 감성분석-Tripadvisor 사례를 중심으로", 정보시스템연구 제27권, 제1호, 2018, pp. 89-110.
- Amado, Alexandra., Paulo Cortez., Paulo Rita., Sergio Moro., "Research Trends on Big Data in Marketing: A Text Mining and Topic Modeling Based Literature Analysis," European Research on Management and Business Economics, Vol. 24, No. 1, 2018, pp. 1-7. https://doi.org/10.1016/j.iedeen.2017.06.002
- Blei, David M., John D Lafferty., "Dynamic Topic Models," Paper presented at the Proceedings of the 23rd International Conference on Machine Learning, 2006, pp 113-120.
- Blei, David M., Andrew Y Ng., Michael I Jordan., "Latent Dirichlet Allocation," the Journal of Machine Learning Research, No. 3, 2003, pp. 993-1022.
- Chen, X., Zou, D., Cheng, G., & Xie, H., "Detecting Latent Topics and Trends in Educational Technologies over Four Decades Using Structural Topic Modeling: A Retrospective of All Volumes of Computers & Education." Computers & Education, No. 151, 2020.
- Dieng, Adji B., Francisco JR Ruiz., David M Blei., "The Dynamic Embedded Topic Model," arXiv preprint arXiv: 1907.05545, 2019.
- Hofmann, Thomas., "Probabilistic Latent Semantic Indexing," Paper Presented at the Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999, pp. 50-57.
- Kho, Jaechang., Kuentae Cho., and Yoonho Cho., "A Study on Recent Research Trend in Management of Technology Using Keywords Network Analysis," Journal of Intelligence and Information Systems, Vol. 19, No. 2, 2013, pp. 101-123. https://doi.org/10.13088/JIIS.2013.19.2.101
- Kim, Yong-Mi., Dursun Delen., "Medical Informatics Research Trend Analysis: A Text Mining Approach," Health Informatics Journal, Vol. 24, No. 4, 2018, pp. 432-452. https://doi.org/10.1177/1460458216678443
- Noh, Heeyong., Yeongran Jo., and Sungjoo Lee., "Keyword Selection and Processing Strategy for Applying Text Mining to Patent Analysis," Expert Systems with Applications, Vol. 42, No. 9, 2015, pp. 4348-4360. https://doi.org/10.1016/j.eswa.2015.01.050
- Pennington, Jeffrey., Richard Socher., Christopher D Manning., "Glove: Global Vectors for Word Representation," Paper Presented at the Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pp. 1532-1543.
- Ratsgo, "Korean Word Embedding Pre-trained Model", https://github.com/ratsgo/embedding/releases , 2019.
- Roberts, Margaret E., Brandon M Stewart., Dustin Tingley., and Edoardo M Airoldi., "The Structural Topic Model and Applied Social Science," Paper Presented at the Advances in Neural Information Processing Systems Workshop on Topic Models: Computation, Application, and Evaluation, Vol 4, 2013, pp 1-20.
- Scott, John., "Social Network Analysis," Sociology, Vol. 22, No. 1, 1988, pp. 109-127. https://doi.org/10.1177/0038038588022001007
- Tseng, Yuen-Hsien., Chi-Jen Lin., and Yu-I, Lin., "Text Mining Techniques for Patent Analysis," Information Processing & Management, Vol. 43, No. 5, 2007, pp. 1216-1247. https://doi.org/10.1016/j.ipm.2006.11.011
- Yang, Hyun-Lim., Tai-Woo Chang., Yerim Choi., "Exploring the Research Trend of Smart Factory with Topic Modeling," Sustainability, Vol. 10, No. 8, 2018, pp. 2779. https://doi.org/10.3390/su10082779
- Yoon, B., Park, Y., "A Text-mining-based Patent Network: Analytical Tool for High-technology Trend," The Journal of High Technology Management Research, Vol. 15, No. 1, 2004, pp. 37-50. https://doi.org/10.1016/j.hitech.2003.09.003