應用文字探勘法分析大數據時代體育研究發展趨勢

Application of the text mining method to analyze the development trends of sports research in the era of big data

石偉源(Wei-Yuan Shih) ； 何篤光(Tu-Kuang Ho)

《體育學報》 53卷4期 (2020/12) Pp. 439-451

https://doi.org/10.6222/pej.202012_53(4).0006

摘要

緒論：分析摘要內容可協助研究者有效地篩選出所需的資訊，一則可節省時間，二則可從內容中窺探出該領域的核心價值與研究趨勢。故本研究以《體育學報》、《大專體育學刊》、《中華體育季刊》、《臺灣運動心理學報》及《華人運動生物力學期刊》在2009年3月～2019年3月期間，所有摘要文字內容為主要探討範疇，試圖透過嚴謹客觀的分析過程，進一步說明目標期刊發展現況與趨勢。方法：提出文字探勘與自然語言處理概念，採用一個適合於數位化文字資料分析程序，包含文本擷取、文字斷詞、TFIDF權重分析、共詞分析、網絡分析等五個步驟。結果：目標期刊研究對象大多以國內學生與運動員為主，所涉及之範疇更涵蓋了社會科學及自然科學等領域。結論：研究結果之網絡圖突顯出國內體育相關研究領域豐富及多元化的趨勢，但「運動史哲」相關議題之研究略顯薄弱，建議相關學者應多方結合不同思維的研究主題，方可實現體育學術多層次、多向度發展之目的。

關鍵字

文本擷取 ； 文字斷詞 ； TFIDF權重分析 ； 共詞分析 ； 網絡分析

並列摘要

Introduction: The analysis of contents in abstracts has proven helpful to researchers for effectively screening the information they need. On the one hand, this approach can save time, while on the other hand, it can also allow researchers to discover the core values and research trends in the investigated field of study. Thus, this study took all the text contents in abstracts from the Physical Education Journal, Sports & Exercise Research, Quarterly of Chinese Physical Education, Bulletin of Sport and Exercise Psychology of Taiwan, and Chinese Journal of Sports Biomechanics for the period from March 2009 to March 2019 as the target of its investigation, in an attempt to further explain the development statuses and trends of the target journals through a rigorous and objective analysis process. Methods: Utilizing the concepts of text mining and natural language processing, this paper adopted an analysis program suitable for digital volumes of text data. The adopted program included five steps: text extraction, text segmentation, TF-IDF weight analysis, co-word analysis, and network analysis. Results: Most of the research subjects included in the studies published in the target journals were students and athletes in Taiwan, with the research scope covering the fields of social science and natural science. Conclusion: A network map in this research should fall into the category of relevant academic fields in Taiwan becoming rich and diversified. However, the research topics under the category of ＂sports history and philosophy＂ appear to be slightly weak. We suggest that relevant scholars should combine research themes using diverse ways of thinking to achieve the goal of multi-level and multi-dimensional development of sports-related academics.

並列關鍵字

text extraction ； text segmentation ； TF-IDF weight analysis ； co-word analysis ； network analysis

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