Analysis of The Development Trend of Sports Research in China and Taiwan Using Natural Language Processing

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.

Proposed Model for cognizance of NLP and NLU towards Enhancement in Sports

“…Most of the upcoming trend in China and Taiwan has been given with the use of NLU in the information retrieval and broadcasting procedures [14] . This research work proposed simplified, fully observable systems that reflect the properties for the curation of soccer players' real-time commentaries using natural language processing and understanding while accompanied by discrete events such as a team scoring goals, switching players, or being penalized with cards.…”