Research field (3):
Literature - Japanese
, Statistical science
, Library/information science, humanistic/social informatics
Research keywords (13):
Culture and Information Science
, data science
, Stylometry
, テキストアナリティクス
, 共創工学
, 文化情報工学
, Statistics
, Digital humanities
, 人文情報学
, 文理融合
, data mining
, text mining
, 教学IR
Research theme for competitive and other funds (5):
2022 - 2026 Personal Network in Islamic Urban Societies: A Study of Digital Humanities
2023 - 2025 データサイエンスを活用したダンス授業指導の効果評価と指導モデル策定
2019 - 2022 『源氏物語』の計量的な文体研究
2017 - 2018 統計手法を用いた源氏物語54巻の成立過程についての検討
2013 - 2015 『源氏物語』の成立論および多作者説についての計量的研究
Papers (19):
Gen Tsuchiyama. Estimating the Order of Soseki Natsume's Novels Using Unsupervised Learning. 2024. 2024. 1. 317-322
Toru Miura, Gen Tsuchiyama. Education and Professional Careers of 'Ulama' in Sixteenth-Century Syria: A Study of Digital Humanities Using Biographical Sources. SHIGAKU. 2024. 93. 2, 3. 75-106
Gen Tsuchiyama. A Quantitative Analysis of Chronological Changes in Writing Style in Soseki Natsume's Novels: About Sentence-Final Expressions. 2022. 33. 7. 481-492
Gen Tsuchiyama. A Quantitative Analysis on the Formation of the Second Part of “The Tale of Genji”. 2020. 2020. 129-134
Gen Tsuchiyama. Case Study of Data Science Education at Ochanomizu University. 2024. 65. 9. e27-e30
Gen Tsuchiyama. An Introduction to Statistics in Linguistics (2): Statistical Scale and Linguistic Data. Mathematical Linguistics. 2021. 33. 2. 100-109
Gen Tsuchiyama. Extracting Feature Words Between “The Tale of Genji” and Apocryphal Texts. 2020. 2020-CH-122. 3. 1-5
THE MATHEMATICAL LINGUISTIC SOCIETY OF JAPAN
, Japan Society of Information and Knowledge
, THE BEHAVIORMETRIC SOCIETY OF JAPAN
, INFORMATION PROCESSING SOCIETY OF JAPAN