Information
論文タイトル：Emotional Analysis of Excluded Person Using Review Texts
著者：Megumi Yasuo, Kaito Shingu, Junjie Shan, Kazuho Yamaura, Yoko Nishihara
概要：The aim of this study is to identify indicators of social exclusion in written texts expressing individuals’ impressions of content. Previous research has demonstrated that loneliness stemming from reduced interpersonal interaction negatively affects individuals’ health. Social exclusion is one of the reasons for causing loneliness. Nevertheless, many people find it difficult to openly disclose experiences of social exclusion. Accordingly, there is a need to develop methods that can find such exclusion without requiring explicit self-disclosure. In this study, we analyzed textual characteristics of reviews written by the experimental subjects. We divided the subjects into two groups by using cyber-ball task: a social excluded group and control group. Then, we asked the subjects in both group to read an assigned document and write a review of it. We analyzed these written review texts using natural language processing, such as sentiment and polarity analysis, to observe the emotional states of different experimental subjects. The findings indicate that texts produced by individuals experiencing social exclusion tend to exhibit heightened expressions of anger and a reduced use of neutral expressions.
書誌情報：The 31st International Conference on Collaboration Technologies and Social Computing, pp. 195–203
発表日：2025年11月6日