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基于LDA主题模型和情感分析混合方法的医疗陪诊服务发展现状与公众情感反馈研究

曹庄晶 邵世妤 胡亚琼 邵志民 丁俭 周志勤 刘林艳

健康发展与政策研究2026,Vol.29Issue(1):135-142,8.
健康发展与政策研究2026,Vol.29Issue(1):135-142,8.DOI:10.12458/HDPR.202503068

基于LDA主题模型和情感分析混合方法的医疗陪诊服务发展现状与公众情感反馈研究

Professional medical accompaniment services:status quo and public sentiment analysis using LDA and SnowNLP

曹庄晶 1邵世妤 2胡亚琼 1邵志民 1丁俭 3周志勤 1刘林艳4

作者信息

  • 1. 复旦大学附属华东医院,上海 200040
  • 2. 复旦大学附属华山医院,上海 200040
  • 3. 上海杉达学院,上海 201209
  • 4. 上海市第一妇婴保健院,上海 201204
  • 折叠

摘要

Abstract

Objective The paper aims to explore professional medical accompaniment services as a significant innovation in optimizing healthcare supply.Through topic modeling and sentiment analysis,this study attempts to reveal public demand characteristics and existing issues,hoping to provide a scientific basis and practical references for the standardized development of the industry.Method LDA(latent Dirichlet allocation)topic modeling and SnowNLP sentiment analysis were employed to conduct text mining and analysis on social media data from 2020 to 2025.Results Public primarily focused on four themes:basic service needs and medical support for the seniors(48.27%),optimization of medical treatment process and collaborative efficiency(23.14%),service professionalism and practitioner qualifications(16.71%),and technology integration and regional pilot exploration(11.88%).The sentiment tendency showed weakly positive(69.24%positive).Public demand was concentrated on enhancing healthcare efficiency for the seniors(topic proportion 48.27%).However,challenges remained in disordered service processes(24.13%negative sentiment)and a lack of practitioner qualifications.Conclusions Under the dual background of an aging society and the digital transformation of healthcare,professional medical accompaniment services should leverage pilot experiences in Shanghai and other regions.Future efforts should target establishing a professional licensing system,implementing ethical governance of technology,and constructing a hierarchical regulatory framework to protect patient rights and promote the standardized and high-quality development of the industry.

关键词

医疗陪诊/LDA主题模型/SnowNLP情感分析/智能医疗

Key words

professional medical accompaniment services/LDA topic modeling/SnowNLP sentiment analysis/smart healthcare

分类

医药卫生

引用本文复制引用

曹庄晶,邵世妤,胡亚琼,邵志民,丁俭,周志勤,刘林艳..基于LDA主题模型和情感分析混合方法的医疗陪诊服务发展现状与公众情感反馈研究[J].健康发展与政策研究,2026,29(1):135-142,8.

基金项目

上海医疗陪诊服务行业标准框架搭建研究(WSHQYJY KT-02-2024) (WSHQYJY KT-02-2024)

健康发展与政策研究

1007-953X

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