Clustering Analysis of Onomatopoeia Co-occurrence Words in Search Queries on Mother-targeted Websites

Abstract

This study aims to analyze the texts exchanged in online communities where pregnant and parenting women share information, with the goal of early detection of physical and mental health issues in mothers and children, and timely provision of relevant information. It is believed that search behavior in online communities reflects the anxieties and questions of mothers. Onomatopoeia, in particular, is useful for expressing pain, symptoms, and emotions, and is closely related to mothers’ anxieties. This paper focuses on the onomatopoeia included in search keywords and attempts to visualize specific concerns of mothers by clustering the words searched together with onomatopoeia.