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Vol.29 No.1
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A Study on Extracting Ideas from Documents and Webpages in the Field of Idea Mining

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2012, v.29 no.1, pp.25-43
https://doi.org/10.3743/KOSIM.2012.29.1.025

(2012). A Study on Extracting Ideas from Documents and Webpages in the Field of Idea Mining. Journal of the Korean Society for Information Management, 29(1), 25-43, https://doi.org/10.3743/KOSIM.2012.29.1.025
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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.

keywords
아이디어 마이닝, 단서 어구, 단서 멀티미디어, 문맥 신호, 담화 구절, 발췌 기법, idea mining, decisive cue phrase, cue multimedia, contextual signal, discourse segmentation, extraction method

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