Purpose The purpose of this study is to introduce the basic concepts and procedures for topic modeling and to explain topic modeling to news articles about dementia-related physical activities. And it is also to discuss the possibility of using topic Modeling in the field of physical education. Methods In this study, the LDA algorithm of topic modeling is explained and the analysis procedure is summarized step by step by text preprocessing, text formatting, and topic number determination. The application cases were selected from 274 news articles about dementia-related physical activities reported in 13 major daily newspapers from 2000 to 2018. Results When the number of topics is 3, the Coherence Score figure is the highest. Topic 1 is about welfare services for dementia patients, Topic 2 is about prevention of dementia, and Topic 3 is about dementia research. The ratio by each subject is Topic 2 (46.0%), Topic 3 (33.2%) and Topic 1 (20.8%) in order of high ratio. Conclusion Topic modeling is an effective methodology to extract potential information excluding subjectivity of researchers. It is expected to be used when searching for information in massive texts in the field of physical education.
Purpose The purpose of this study was to explore the optimal model for winning medal on vault event of men's gymnastics. Specifically, decision tree analysis was used to explore, first, for the optimal conditions for qualifying top 8th player that have high possibility into final round, and second, for the optimal model for obtaining the medal of the vault event. Methods Data were collected for five official competitions (Olympics, Asian games, and International championship, etc.) organized by the Federation of International Gymnastics (FIG) from 2013 to 2016. In this study, the data of 626 vault players were collected. Also all of these players performed 921 vault skills for qualifying round or final round. Five predictor variables for estimating for qualifying into the final round and for obtaining the medal of the vault event were selected; nationality, difficulty score, acting score, additional penalty score, final score. Results The results is as follows. Overall, it was confirmed that the optimal model for entering into the final round was the difficulty score of vault event. The optimal model for entering into the final round estimates 81.2% when condition would be the 5.6 or higher of difficulty score and 8.6 or higher of the acting score. The optimal model for winning medals was 86.7%, which means that when condition would be the 6.0 or higher of difficulty score and no additional penalty score. Conclusions This models can be used as a basic data for establishing a strategy for medal acquisition of vault event of gymnastics.
