Browse > Article
http://dx.doi.org/10.14400/JDC.2020.18.3.001

Policy agenda proposals from text mining analysis of patents and news articles  

Lee, Sae-Mi (Smart Governance Research Center, Dong-A University)
Hong, Soon-Goo (Division of Management Information System, Dong-A University)
Publication Information
Journal of Digital Convergence / v.18, no.3, 2020 , pp. 1-12 More about this Journal
Abstract
The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.
Keywords
Bllockchain; Online news; Patent; Text mining; Topic modeling; Policy agenda;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
연도 인용수 순위
1 M. Swan. (2015). Blockchain: Blueprint for a new economy. Sebastopol, CA, USA: O'Reilly Media, Inc.
2 A. Dorri, S. S. Kanhere & R. Jurdak. (2017). Towards an optimized blockchain for IoT. Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, Pittsburg, PA, USA, ACM, 173-178.
3 K. Biswas & V. Muthukkumarasam. (2016). Securing smart cities using blockchain technology. Proceedings of the 2016 IEEE 18th International Conference on High Performance Computing and Communications (HPCC), Sydney Australia, 1392-1393.
4 S. Iyengar, M. D. Peters & D. R. Kinder. (1982). Experimental demonstrations of the "not-so-minimal" consequences of television news programs. The American Political Science Review, 76, 848-858.   DOI
5 J. J. Jeong, J. M. Lee & S. Y. Choi. (2018). Analysis of news regarding the disabled labor using text mining techniques. Reinterpretation of Disability, 48-100.
6 C. Jeong & K. Kim. (2014). Creating patents on the new technology using analogy-based patent mining. Expert systems with applications, 41(8), 3605-3614.   DOI
7 A. Rahaman. (Aug 20, 2018) InterValue The World's first practical blockchain 4.0. Medium. https://medium.com/@aminurrahaman/intervalue-the-worlds-first-practical-blockchain-4-0-b9324878c262
8 G. J. Kim, S. S. Park & D. S. Jang. (2015). Technology forecasting using topic-based patent analysis. Journal of Scientific and Industrial Research, 74(5), 265-270.
9 S. B. Lim, H. R. Choi & N. R. Kim. (2018). Smart governance system based on blockchain.. Pusan, South Korea: Sejong Publisher. DOI : 9791159792267.
10 C. Park & K. Park. (2018). Trend analysis of application fields of blockchain technology using patent data. Journal of Korean Institute of Next Generation Computing, 14(2), 72-81.
11 S. Miau & J. M. Yang. (2018). Bibliometrics-based evaluation of the blockchain research trend: 2008-March 2017. Technology Analysis & Strategic Management, 30(9), 1029-1045.   DOI
12 D. M. Blei. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.   DOI
13 D. M. Blei, A. Y. Ng & M. Jordan. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3(Jan), 993-1022.
14 S. Arora et al. (2013). A practical algorithm for topic modeling with provable guarantees. Proceedings of the 30th International Conference on International Conference on Machine Learning, Atlanta, GA, USA, v. 28.
15 X. Cheng, X. Yan, Y. Lan & J. Guo. (2014). BTM: Topic modeling over short texts. IEEE Transactions on Knowledge and Data Engineering, 26(12), 2928-2941. DOI : 10.1109/TKDE.2014.2313872   DOI
16 Z. Zhai, B. Liu, H. Xu & P. Jia. (2011). Constrained LDA for grouping product features in opinion mining. Procedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Ho Chi Minh City, Vietnam; Springer, Berlin, Heidelberg, 448-459.
17 B. K. Sung & Y. Y. You. (2018). Analysis of the complaints and policy of the Ministry of Employment and Labor using the R program. Journal of the Korea Convergence Society, 9(7), 41-46.   DOI
18 M. E. McCombs & D. L. Shaw. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176-187.   DOI
19 E. M. Park & J. H. Seo. (2019). A Study on Leadership Typology in Sports Leaders Based on Big Data Analysis. Journal of the Korea Convergence Society, 10(7), 191-198.   DOI
20 J. Bae, J. Son & M. Song. (2013). Analysis of twitter for 2012 South Korea presidential election by text mining techniques. Journal of Intelligence and Information Systems, 19(3), 141-156.   DOI
21 J. S. Kam, M. Y. Kim & B. H. Hyun. (2013). A study on analysis of patent information based biotechnology research trend and promising research themes. Journal of Technology Innovation, 21(2), 25-56.
22 J. C. Choi. (2018). Big Data Patent Analysis Using Social Network Analysis. Journal of the Korea Convergence Society, 9(2), 251-257.   DOI
23 J. An, K. Ahn & M. Song. (2016). Text mining driven content analysis of Ebola on news media and scientific publications: using bio research papers and news text data. Journal of the Korean Society for Library and Information Science, 50(2), 289-307.   DOI
24 J. Park. (Aug 9, 2018). 'Innovation Ecosystem's Way to Live' Large companies have started to support startups. Digital Times. http://www.dt.co.kr/contents.html?article_no=2018080902109932781011&ref=naver
25 T. Jeong. (June 17, 2019). There are no Korean companies in the global top 10 blockchain patents. The Herald Business. http://news.heraldcorp.com/view.php?ud=20190617000149
26 S. Kim. (June 6, 2019). Blockchain Developers and Professional Construction Talents Shortage... Government and industry "employ and educate. Financial News. http://www.fnnews.com/news/201906061710510492
27 J. Born, E. Scheihing, J. Guerra & L. Carcamo. (2014). Analysing microblogs of middle and high school students. Proceedings of the European Conference on Technology Enhanced Learning, Lyon, France, Springer: Cham, 15-28.