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An Experimental Approach of Keyword Extraction in Korean-Chinese Text

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2019, 36(4), pp.7~19
  • DOI : 10.3743/KOSIM.2019.36.4.007
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 18, 2019
  • Accepted : December 13, 2019
  • Published : December 30, 2019

Jeong, Yoo-Kyung ORD ID 1 Jaeyu Ban 2

1연세대학교
2연세대학교(원주캠퍼스) 근대한국학연구소

Accredited

ABSTRACT

The aim of this study is to develop a technique for keyword extraction in Korean-Chinese text in the modern period. We considered a Korean morphological analyzer and a particle in classical Chinese as a possible method for this study. We applied our method to the journal “Sisachongbo,” employing proper-noun dictionaries and a list of stop words to extract index terms. The results show that our system achieved better performance than a Chinese morphological analyzer in terms of recall and precision. This study is the first research to develop an automatic indexing system in the traditional Korean-Chinese mixed text.

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This paper was written with support from the National Research Foundation of Korea.