Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.7.009

Investigation of Research Topic and Trends of National ICT Research-Development Using the LDA Model  

Woo, Chang Woo (Department of Computer Science, Chungbuk National University)
Lee, Jong Yun (Department of Computer Science, Chungbuk National University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.7, 2020 , pp. 9-18 More about this Journal
Abstract
The research objectives investigates main research topics and trends in the information and communication technology(ICT) field, Korea using LDA(Latent Dirichlet Allocation), one of the topic modeling techniques. The experimental dataset of ICT research and development(R&D) project of 5,200 was acquired through matching with the EZone system of IITP after downloading R&D project dataset from NTIS(National Science and Technology Information Service) during recent five years. Consequently, our finding was that the majority research topics were found as intelligent information technologies such as AI, big data, and IoT, and the main research trends was hyper realistic media. Finally, it is expected that the research results of topic modeling on the national R&D foundation dataset become the powerful information about establishment of planning and strategy of future's research and development in the ICT field.
Keywords
LDA(Latent Dirichlet Allocation); Topic Modeling; Research Topic; Research Trends; National ICT R&D;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Klaus Schwab. (2016). The Fourth Industrial Revolution: what it means, hot to respond. World Economic Forum Agenda. World Economic Forum.
2 Presidential Committee on the Fourth Industrial Revolution. (2016). Comprehensive Measures for Intelligence Information Society. Seoul : Presidential Committee on the Fourth Industrial Revolution.
3 Presidential Committee on the Fourth Industrial Revolution. (2017). 4th Industrial Revolution Response Plan. Seoul : Presidential Committee on the Fourth Industrial Revolution.
4 EZone. National ICT R&D Management System. https://https://ezone.iitp.kr
5 Ministry of Science and ICT. (2018). I-KOREA 4.0 : ICT R&D Innovation Strategy. Sejong : Ministry of Science and ICT Publishing.
6 Institute of Information & Communications Technology Planning & Evaluation. (2019). 2018 ICT Technical Level Survey. Daejeon : Institute of Information & Communications Technology Planning & Evaluation.
7 NTIS. National R&D Management System. https://www.ntis.go.kr
8 T. K. Kim, H. R. Choi & H. C. Lee. (2016). A Study on the Research Trends in Fintech using Topic Modeling. Journal of the Korea Academia Industrial cooperation Society, 17(11), 670-681. DOI : 10.5762/KAIS.2016.17.11.670   DOI
9 C. S. Kim, S. J. Choi & K. Y. Kwahk. (2017). Investigation of Research Trends in Information Systems Domain Using Topic Modeling and Time Series Regression Analysis. Journal of Digital Contents Society, 18(6), 1143-1150. DOI : 10.9728/dcs.2017.18.6.1143   DOI
10 J. S. Park, N. R. Kim & E. J. Han. (2018). Analysis of Trends in Science and Technology using Keyword Network Analysis. Journal of the Korea Industrial Information Systems Research, 23(2), 63-73. DOI : 10.9723/jksiis.2018.23.2.063   DOI
11 H. Y. Kim & Y. S. Kim. (2019) Trend Analysis of Healthcare Research in Korea using Topic Modeling. Journal of Wellness, 14(1), 253-262. DOI : 10.21097/ksw.2019.02.14.1.253
12 H. I. Jo, J. W. Kim & B. K. Lee. (2019). A Study on Research Trends of Blockchain Using LDA Topic Modeling : Focusing on United States, China, and South Korea. Journal of Digital Contents Society, 20(7), 1453-1460. DOI : 10.9728/dcs.2019.20.7.1453   DOI
13 Ministry of Science and ICT. (2019). Administrative Rules(2019-79) National research and development information standard. Seoul : Ministry of Science and ICT.
14 AlphaGo versus Lee Sedol, AlphaGo versus Lee Sedol, https://en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol
15 David M. Blei, Andrew Y. Ng & Michael I. Jordan. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022. DOI : 10.1162/jmlr.2003.3.4-5.993
16 Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer & Richard Harshman. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391-407. DOI : 10.1002/(SICI)1097-4571(199009)41:6<391   DOI
17 Thomas Hofmann. (2001). Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42(1-2), 177-196. DOI : 10.1023/A:1007617005950   DOI
18 Organization for Economic Cooperation and Development. (2019). Artificial Intelligence in Society. France: Organization for Economic Cooperation and Development. DOI : 10.1787/eedfee77-en
19 Bitcoin, Bitcoin, https://en.wikipedia.org/wiki/Bitcoin
20 Ministry of Government Legislation. (2019). Current Status of Proposals Related to Cryptocurrency. Seoul : Ministry of Government Legislation.
21 Lin Liu, Lin Tang, Wen Dong, Shaowen Yao & Wei Zhou. (2016). An Overview of Topic Modeling and its current applications in bioinformatics. Springerplus, 5(1), 1608-1630. DOI : 10.1186/s40064-016-3252-8   DOI