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社交媒体数据的情感分析与主题建模,以探究关于肠易激综合征的公众讨论。

Sentiment analysis and topic modeling of social media data to explore public discourse on irritable bowel syndrome.

作者信息

Shankar Ravi, Yip Alexander Wenjun

机构信息

Medical Affairs-Research Innovation & Enterprise, Alexandra Hospital, Singapore, Singapore.

Alexandra Research Centre for Healthcare in the Virtual Environment (ARCHIVE), Alexandra Hospital, National University Health System, Singapore, Singapore.

出版信息

Sci Rep. 2025 Jul 1;15(1):21550. doi: 10.1038/s41598-025-08599-7.


DOI:10.1038/s41598-025-08599-7
PMID:40596686
Abstract

Irritable Bowel Syndrome (IBS) is a functional gastrointestinal disorder affecting 10-15% of the global population, characterized by abdominal pain, bloating, and altered bowel habits. This study aimed to analyze IBS-related discussions on X.com using sentiment analysis and topic modeling to understand patient experiences, concerns, and information needs from 2006 to 2024. A mixed-methods analysis of 12,345 IBS-related posts from X.com was conducted, collecting data using focused search terms ('IBS', 'irritable bowel syndrome', '#ibs', 'bowel syndrome'). After preprocessing, sentiment analysis was performed on 8,864 posts using the VADER algorithm. Topic modeling was conducted on 2,532 posts using Latent Dirichlet Allocation, focusing on posts with at least fifty words to ensure meaningful theme extraction. Sentiment analysis showed predominantly neutral (45.9%), positive (35.4%), and negative (18.7%) sentiments. Topic modeling revealed eight major themes: physical symptoms (15.6%), diet and triggers (15.1%), social support (14.2%), comorbidities (12.2%), research and treatment (12.2%), quality of life (12.0%), awareness (11.5%), and mental health (7.2%). Temporal analysis indicated increasing engagement with IBS-related content over time, suggesting growing public awareness and support needs. This study demonstrates the value of social media analysis in understanding IBS patient experiences and highlights the need for integrated care models addressing both physical and psychosocial aspects of the condition. The findings suggest healthcare providers should adopt more comprehensive, patient-centered approaches that consider the full spectrum of patient needs. Results underscore the importance of social media platforms in facilitating peer support and information sharing within the IBS community. Each identified theme offers specific clinical implications, from symptom management strategies to psychological support services. This study positions social media discourse analysis within the broader framework of patient-centered care, contributing to understanding how digital health communication can bridge the gap between clinical practice and lived patient experience in chronic illness.

摘要

肠易激综合征(IBS)是一种功能性胃肠疾病,影响着全球10%至15%的人口,其特征为腹痛、腹胀和排便习惯改变。本研究旨在通过情感分析和主题建模,分析X.com上与IBS相关的讨论,以了解2006年至2024年期间患者的经历、担忧和信息需求。对来自X.com的12345条与IBS相关的帖子进行了混合方法分析,使用重点搜索词(“IBS”、“肠易激综合征”、“#ibs”、“肠道综合征”)收集数据。预处理后,使用VADER算法对8864条帖子进行了情感分析。使用潜在狄利克雷分配法对2532条帖子进行了主题建模,重点关注至少有50个单词的帖子,以确保提取有意义的主题。情感分析显示,主要情感为中性(45.9%)、积极(35.4%)和消极(18.7%)。主题建模揭示了八个主要主题:身体症状(15.6%)、饮食与触发因素(15.1%)、社会支持(14.2%)、合并症(12.2%)、研究与治疗(12.2%)、生活质量(12.0%)、认知(11.5%)和心理健康(7.2%)。时间分析表明,随着时间的推移,与IBS相关内容的参与度不断提高,这表明公众意识和支持需求在不断增长。本研究证明了社交媒体分析在了解IBS患者经历方面的价值,并强调了需要综合护理模式来解决该疾病的身体和心理社会方面的问题。研究结果表明,医疗保健提供者应采用更全面、以患者为中心的方法,考虑患者的全部需求。结果强调了社交媒体平台在促进IBS社区内同伴支持和信息共享方面的重要性。每个确定的主题都具有特定的临床意义,从症状管理策略到心理支持服务。本研究将社交媒体话语分析置于以患者为中心的护理这一更广泛的框架内,有助于理解数字健康通信如何弥合慢性病临床实践与患者实际经历之间的差距。

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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Upward Bullying as Experienced by Chinese Nurse Managers: A Qualitative Study.

J Nurs Manag. 2024-8-28

[2]
The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review.

J Nurs Manag. 2024-12-30

[3]
Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis.

JMIR Med Inform. 2024-11-29

[4]
Experiences of Alzheimer's disease and related dementia family caregivers on Reddit communities: A topic modeling and sentiment analysis.

Artif Intell Health. 2024

[5]
Public perception of psychiatry, psychology and mental health professionals: a 15-year analysis.

Front Psychiatry. 2024-4-30

[6]
Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer.

JMIR Cancer. 2024-5-9

[7]
Psychological distress in individuals with irritable bowel syndrome: the roles of body image and self-criticism.

Health Psychol Behav Med. 2024-3-28

[8]
Quality communication can improve patient-centred health outcomes among older patients: a rapid review.

BMC Health Serv Res. 2023-8-22

[9]
Irritable bowel syndrome: Epidemiology, overlap disorders, pathophysiology and treatment.

World J Gastroenterol. 2023-7-14

[10]
A systematic review of the use of topic models for short text social media analysis.

Artif Intell Rev. 2023-5-1

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