Version 1
: Received: 8 June 2022 / Approved: 10 June 2022 / Online: 10 June 2022 (08:18:59 CEST)
How to cite:
Shih, W.; Ho, T. Analysis of The Development Trend of Sports Research in China and Taiwan Using Natural Language Processing. Preprints2022, 2022060155. https://doi.org/10.20944/preprints202206.0155.v1
Shih, W.; Ho, T. Analysis of The Development Trend of Sports Research in China and Taiwan Using Natural Language Processing. Preprints 2022, 2022060155. https://doi.org/10.20944/preprints202206.0155.v1
Shih, W.; Ho, T. Analysis of The Development Trend of Sports Research in China and Taiwan Using Natural Language Processing. Preprints2022, 2022060155. https://doi.org/10.20944/preprints202206.0155.v1
APA Style
Shih, W., & Ho, T. (2022). Analysis of The Development Trend of Sports Research in China and Taiwan Using Natural Language Processing. Preprints. https://doi.org/10.20944/preprints202206.0155.v1
Chicago/Turabian Style
Shih, W. and Tu-Kuang Ho. 2022 "Analysis of The Development Trend of Sports Research in China and Taiwan Using Natural Language Processing" Preprints. https://doi.org/10.20944/preprints202206.0155.v1
Abstract
A digital text abstract presents the essential information of an article, and we can find the trend and value of the research by analyzing it rigorously and digging up knowledge. Therefore, this study focuses on the abstracts of index journals in China and Taiwan from July 2010 to June 2020 (a total of 3,283 abstracts). Through the concepts of text mining and natural language processing (NLP), it constructs processes such as text retrieval, text segmentation and word cloud analysis, TF-IDF weight analysis, co-word analysis, network analysis, and trend analysis, and analyses a large amount of text data. The results show that the scope of research in China covers the fields of social sports and sports science, and research in Taiwan covers both natural and social sciences. The network diagram highlights the richness of sports-related research fields in the two regions, but research on sports philosophy is relatively rare. It is suggested that all disci-plines/departments should re-allocate the same resources, so as to show a balanced development trend and help expand a new chapter in the sports academic field.
Keywords
word segmentation; word cloud analysis; TF-IDF weight analysis; co-word analysis; network analysis
Subject
Social Sciences, Tourism, Leisure, Sport and Hospitality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
