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http://dx.doi.org/10.5392/JKCA.2011.11.10.059

In-depth Analysis of Soccer Game via Webcast and Text Mining  

Jung, Ho-Seok (한국생명공학연구원 지식정보과)
Lee, Jong-Uk (고려대학교 전산학과)
Yu, Jae-Hak (한국전자통신연구원 USN기반기술연구팀)
Lee, Han-Sung (한국전자통신연구원 휴먼인식기술연구팀)
Park, Dai-Hee (고려대학교 컴퓨터정보학과)
Publication Information
The Journal of the Korea Contents Association / v.11, no.10, 2011 , pp. 59-68 More about this Journal
Abstract
As the role of soccer game analyst who analyzes soccer games and creates soccer wining strategies is emphasized, it is required to have high-level analysis beyond the procedural ones such as main event detection in the context of IT based broadcasting soccer game research community. In this paper, we propose a novel approach to generate the high-level in-depth analysis results via real-time text based soccer Webcast and text mining. Proposed method creates a metadata such as attribute, action and event, build index, and then generate available knowledges via text mining techniques such as association rule mining, event growth index, and pathfinder network analysis using Webcast and domain knowledges. We carried out a feasibility experiment on the proposed technique with the Webcast text about Spain team's 2010 World Cup games.
Keywords
Text Mining; Webcast; Soccer Game Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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