• Title/Summary/Keyword: Auxiliary word truncation

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Automatic Keyword Extraction System for Korean Documents Information Retrieval (국내(國內) 문헌정보(文獻情報) 검색(檢索)을 위한 키워드 자동추출(自動抽出) 시스템 개발(開發))

  • Yae, Yong-Hee
    • Journal of Information Management
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    • v.23 no.1
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    • pp.39-62
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    • 1992
  • In this paper about 60 auxiliary words and 320 stopwords are selected from analysis of sample data, four types of stop word are classified left, right and - auxiliary word truncation & normal. And a keyword extraction system is suggested which undertakes efficient truncation of auxiliary word from words, conversion of Chinese word to Korean and exclusion of stopword. The selected keyeords in this system show 92.2% of accordance ratio compared with manually selected keywords by expert. And then compound words consist of $4{\sim}6$ character generate twice of additional new words and 58.8% words of those are useful as keyword.

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