Browse > Article
http://dx.doi.org/10.14404/JKSARM.2022.22.2.117

A Study on the Archival Information Services of Economic Policy Using Text Mining Methods: Focusing on Economic Policy Directions  

Yeon, Jihyun (충남대학교 일반대학원 기록관리학과)
Kim, Sungwon (충남대학교 사회과학대학 문헌정보학과)
Publication Information
Journal of Korean Society of Archives and Records Management / v.22, no.2, 2022 , pp. 117-133 More about this Journal
Abstract
The archival content listed arbitrarily makes it difficult for users to efficiently access the records of major economic policies, especially given that they use it without understanding the required period and context. Using the text mining techniques in the 30-year economic policy direction from 1991 to 2021, this paper derives economic-related keywords and changes that the government mainly dealt with. It collects and preprocesses major economic policies' background, main content, and body text and conducts text frequency, term frequency-inverse document frequency (TF-IDF), network, and time series analyses. Based on these analyses, the following words are recorded in order of frequency: "job(일자리)," "competitive(경쟁력)," and "restructuring(구조조정)." In addition, the relative ratio of "job (일자리)," "real estate(부동산)," and "corporation(기업)," by year was analyzed in terms of chronological order while presenting major keywords mentioned by each government. Based on the results, this study presents implications for developing and broadening the area of archival information services related to economic policies.
Keywords
Economic Policy; Archival Information Service; Text Mining; Network Analysis; Time Series Analysis;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Hyun, Jung-taek (2006). Understanding of economic policy and policy implications on recent economic conditions. KDI Policy Forum, 172.
2 Kim, Yeon ji (2021). A Study on the Trend Analysis of Metadata in Journals of Library and Information Science: Using Network Analysis Techniques. Master's thesis, Sangmyung University.
3 Korea Development Institute (2020.9.21.) Economic policy directions. Economic policy timeline. Available: http://epts.kdi.re.kr/polcTmsesSrvc/them#this
4 Korea Development Institute (2021). 50th Anniversary Vision Report. Sejong: Korea Development Institute.
5 National Institute of the Korean Language (2021.11.3.). Onlineganada. Available: https://www.korean.go.kr/front/main.do
6 Park, Euntae (2004). A Dictionary of Economics. Seoul: Kyungyeonsa.
7 Presidential Archives (2013). Policy record. Archive collection. Available: https://www.pa.go.kr/research/contents/policy/policymain.jsp
8 Song, Hye-Ji, Park, Kyoung-Soo, Jung, Hye-Eun, & Song, Min (2013). Trend analysis of korean economy in the economic literature by text mining techniques. Proceedings of the Korean Society for Information Management Conference, 20, 47-50.
9 Wamboldt, B. D. (1992). Content analysis: Method, applications, and issues, 14, 313-321. https://doi.org/10.1080/07399339209516006   DOI
10 Sin, Dongheon (2018). Implementation of Moving Job-Recommender System Based on TF-IDF: Focusing on reviews posted on the Jobplanet, Master's thesis, Soongsil University.
11 Duff, W. & Yakel, E. (2017). Archival interaction, Currents of Archival Thinking(2nd),
12 Schellenberg, T. S. (1956). Mordern archives: Principles and Techniques
13 Weber, R. P. (1990). Basic Content Analysis
14 Lee, Jae-Yun, Moon, Ju-Young, & Kim, Hee-Jung (2007). Examining the intellectual structure of records management & archival science in korea with text mining. Journal of the Korean Society for Library and Information Science, 41(1), 345-372.   DOI
15 Cho, Jane (2011). A study for research area of library and information science by network text analysis. Journal of the Korean Society for information Management, 28(4), 65-83 https://doi.org/10.3743/KOSIM.2011.28.4.065   DOI
16 Choi, kwang (2018). The Miracle of the Korean Economy 70 Years, Paju: Book&People.
17 Kang, Beomil, Song, Min, & Jho, Whasun (2013). A study on opinion mining of newspaper texts based on topic modeling. Journal of the Korean Society for Library and Information Science, 47(4), 315-334. https://doi.org/10.4275/KSLIS.2013.47.4.315   DOI
18 Kim, Soo hyon, Lee, Young Joon, Shin, Jhinyoung, & Park, Ki Young (2020). Text mining for economic analysis. Journal of Korean Economic Analysis, 26(1), 1-70. http://dx.doi.org/10.22823/jkea.26.1.202004.1   DOI
19 Korea Development Institute (2020). A Clear History of Korean Economic Development. Sejong: Korea Development Institute.
20 Park, Jun Hyeong, Ryu, Pum-Mo, & Oh, Hyo-Jung (2018). Timeline-based topic trend analysis of archives management in korea. Journal of Korean Society of Archives and Records Management, 12(1), 29-47. https://doi.org/10.14404/JKSARM.2018.18.1.029   DOI
21 Kim, Jun hyeon (2015). An essay for understanding the meaning of the network text analysis results in study of the public administration. Institute for Humanities and Social Sciences, 16(4), 247-280. https://doi.org/10.15818/ihss.2015.16.4.247   DOI