Symptom and Sentiment Analysis of Older People with Cancer and Caregivers: A Text Mining Approach Using Korean Social Media Data

Symptom and Sentiment Analysis of Older People with Cancer and Caregivers: A Text Mining Approach Using Korean Social Media Data

Objectives This study examined the symptoms and emotions expressed by older adults with cancer and their caregivers in South Korean online cancer communities. It aimed to identify narrative patterns and provide insights to inform personalized care strategies. Methods We analyzed 6,908 user-generated...

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Bibliographic Details
Main Authors: Kyunghwa Lee, Soomin Hong
Format: Article
Language:English
Published: The Korean Society of Medical Informatics 2025-04-01
Series:Healthcare Informatics Research
Subjects:
natural language processing
neoplasms
aged
signs and symptoms
caregivers
Online Access:http://e-hir.org/upload/pdf/hir-2025-31-2-175.pdf
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