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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. [ABSTRACT FROM AUTHOR]