ウエダ　マユミ   Ueda Mayumi   上田　真由美    所属   追手門学院大学  経営学部 経営学科    職種   教授
発表年月日	2025/10/17
発表テーマ	Developing a Novel Tag Cloud System for Optimized Visualization and Behavioral Analytics in Cosmetic Review Platforms
会議名	The 12th International Conference on Behavioural and Social Computing (BESC2025)
学会区分	国際学会
発表形式	口頭（一般）
単独共同区分	共同
国名	香港
開催地名	Hong Kong
開催期間	2025/10/16～2025/10/18
発表者・共同発表者	Shizuku Kitamura, Asaka Lan Cheng, Fumiya Yamaguchi, Mayumi Ueda, Nakajima Shinsuke
概要	When searching for cosmetic items that match personal preferences in online shopping, review information can be highly useful. However, in order to thoroughly understand the characteristics of each cosmetic item, it is often necessary to read through a large number of reviews, which can be timeconsuming and burdensome. Therefore, a system that visualizes the features of each cosmetic item is important to help users easily grasp their characteristics. In this study, we propose a visualization method that analyzes review texts and provides a tag cloud showing both positive and negative aspects mentioned in the reviews. This enables users to easily understand the features of cosmetic items.