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

Tae-Young Lee (이태영)

doi:10.3743/KOSIM.2012.29.1.025

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

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2012, 29(1), pp.25~43
DOI : 10.3743/KOSIM.2012.29.1.025
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : December 30, 2011
Accepted : January 31, 2012
Published : March 30, 2012

Tae-Young Lee ¹

¹전북대학교

Accredited

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

idea mining, decisive cue phrase, cue multimedia, contextual signal, discourse segmentation, extraction method

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

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

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

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

ABSTRACT

KEYWORDS

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