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http://dx.doi.org/10.3743/KOSIM.2017.34.4.321

A Study on Automatic Classification of Record Text Using Machine Learning  

Kim, Hae Chan Sol (아카이브랩)
An, Dae Jin (아카이브랩, 명지대학교 기록정보과학전문대학원)
Yim, Jin Hee (정보인권연구소)
Rieh, Hae-Young (명지대학교 기록정보과학전문대학원)
Publication Information
Journal of the Korean Society for information Management / v.34, no.4, 2017 , pp. 321-344 More about this Journal
Abstract
Research on automatic classification of records and documents has been conducted for a long time. Recently, artificial intelligence technology has been developed to combine machine learning and deep learning. In this study, we first looked at the process of automatic classification of documents and learning method of artificial intelligence. We also discussed the necessity of applying artificial intelligence technology to records management using various cases of machine learning, especially supervised methods. And we conducted a test to automatically classify the public records of the Seoul metropolitan government into BRM using ETRI's Exobrain, based on supervised machine learning method. Through this, we have drawn up issues to be considered in each step in records management agencies to automatically classify the records into various classification schemes.
Keywords
automatic classification; artificial intelligence; supervised learning; classification scheme; ETRI Exobrain; machine learning;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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