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  • P-ISSN1013-0799
  • E-ISSN2586-2073

아이디어 마이닝 분야에서 문헌과 웹페이지의 아이디어 발췌에 대한 연구

A Study on Extracting Ideas from Documents and Webpages in the Field of Idea Mining

정보관리학회지, (P)1013-0799; (E)2586-2073
2012, v.29 no.1, pp.25-43
https://doi.org/10.3743/KOSIM.2012.29.1.025
이태영 (전북대학교)

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Abstract

The ideas and quasi-ideas useful for human's creation were drawn out from documents and webpages with extraction methods used in idea mining, opinion mining, and topic signal mining. The extraction methods comprised (1) decisive cue phrases, (2) cue figures and sounds, (3) contextual signals, and (4) discourse segmentations, They tested on the idea samples, such as thoughts, plans, opinions, writings, figures, sounds, and formulas. Methods (1), (3), and (4) received largely positive evaluation, judging the efficiency of 4 methods by F measure, a mixture of recall and precision ratio. In particular, decisive cue phrase method was effective to search idea and contextual signal method was effective to detect quasi-idea.

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