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A Study on Automatic Classification of Record Text Using Machine Learning

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2017, 34(4), pp.321~344
  • DOI : 10.3743/KOSIM.2017.34.4.321
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : December 8, 2017
  • Accepted : December 27, 2017
  • Published : December 30, 2017

Hae Chan Sol Kim 1 Dae Jin An 2 YIM JIN HEE 3 Rieh, Hae-Young 4

1아카이브랩
2명지대학교 기록정보과학전문대학원, (주)아카이브랩 대표
3서울특별시청
4명지대학교

Accredited

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.

Citation status

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