Text mining analysis of dissatisfaction felt by the elderly

Eriko Musashi; Takaaki Hosoda; Daisuke Ikeda

doi:10.32188/iar.2.0_112

Proceedings of the International Conference on ICT Application Research

DOI https://doi.org/10.32188/iar.2.0_112

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Host: International ICT Application Research Society

Name : The 2nd International Conference on ICT Application Research

Date : August 31, 2024 - September 03, 2024

Text mining analysis of dissatisfaction felt by the elderly

*Eriko Musashi, Takaaki Hosoda, Daisuke Ikeda

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Keywords: Elderly, Complaint Submission, Text Analysis, Emotional Analysis

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Pages 112-117

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Abstract

Japan's population aging rate is 29.1%, a high percentage. Previous research approaches to the elderly have mainly focused on topics related to the medical and welfare fields of the elderly. Prior research has shown that the elderly are known to prefer positive information and that focusing on positive information can stabilize their mood. In this study, therefore, we analyze the data on complaints posted by the elderly, targeting complaints, a comment that tends to be negative, and clarify the characteristics of information transmission by the elderly.

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