Clustering Analysis of Onomatopoeia Co-Occurrence Words in Search Queries on Mother-Targeted Websites

• Published in: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Vol. 37; no. 1; pp. 515 - 519
• Main Authors: KIMURA, Yasutomo, TAKAMARU, Keiichi, OTOTAKE, Hokuto, UCHIDA, Yuzu
• Format: Journal Article
• Language: Japanese
• Published: Iizuka Japan Society for Fuzzy Theory and Intelligent Informatics 15.02.2025; 日本知能情報ファジィ学会; Japan Science and Technology Agency
• Subjects: Cluster analysis; Clustering; clustering analysis; online community; onomatopoeia; Searching; オノマトペ; オンラインコミュニティ; クラスタリング分析
• ISSN: 1347-7986; 1881-7203; 1881-7203
• DOI: 10.3156/jsoft.37.1_515

This study aims to analyze the text posted by pregnant and parenting women in online communities, with the objective of early detection of physical and mental health issues in mothers and children. It is believed that the search behavior in online communities reflects the anxieties and concerns of mothers. Onomatopoeia, in particular, is useful for expressing pain, symptoms, and emotions, and is closely related to the anxieties of mothers. In this paper, we focus on onomatopoeia included in search keywords and attempt to visualize specific concerns of mothers by clustering the words that are searched alongside onomatopoeia.