@article{oai:nagoya.repo.nii.ac.jp:02001208,
 author = {山本, 裕二 and YAMAMOTO, Yuji},
 issue = {1},
 journal = {総合保健体育科学, Nagoya Journal of Health, Physical Fitness & Sports},
 month = {May},
 note = {We analyzed both Japanese and English titles of “Japanese Journal of Sport Psychology” during last 30 years using text mining. We have used ‘MeCab’ for Japanese titles and ‘tidytext’ package for R language for English titles, also KH Coder for collocation network which was developed to analyze Japanese text. The 204 titles were divided to each ten years, that is, 1990’s, 2000’s and 2010’s, and counted the frequency of appearances of words in the titles and depicted as ‘wordcloud’, also counted the bigrams for English words, and calculated the collocation network for Japanese words using KH Coder. The results showed that the changes of the interests among last thirty years, from the psychology of human movements and psychology of physical education in 1990’s to sport psychology and exercise psychology in 2000’s and to diversity of these four major discipline in 2010’s. Also the text mining would be useful tools to analyze the trend of academic interests.},
 pages = {1--17},
 title = {テキストマイニングによるスポーツ心理学の論文タイトルの解析},
 volume = {44},
 year = {2021}
}