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http://dx.doi.org/10.4275/KSLIS.2020.54.1.387

Application of Text Mining for Legal Information System: Focusing on Defamation Precedent  

Kim, Yong Hwan (청주대학교 인문사회대학 인문학부 문헌정보학전공)
Publication Information
Journal of the Korean Society for Library and Information Science / v.54, no.1, 2020 , pp. 387-409 More about this Journal
Abstract
Precedents are data containing various types of information. In this study, I proposed a method to be utilized as legal information system for the public using automatic text analysis performed on precedents. It is carried out to analyze the defamation precedent using reference provision, judgment issues, major points of judgment, and reference precedents. As a result of the analysis, legal provisions used in defamation, key issues covered by defamation, and key cases are extracted. Although only applied to the Supreme Court case regarding defamation, the proposed methodology could be applied to various legal topics.
Keywords
Precedent; Legal Information Service; Legal Information System; Text Mining; Defamation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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