护理研究2025，Vol.39Issue(19)：3242-3255,14.DOI:10.12102/j.issn.1009-6493.2025.19.007
基于文本挖掘的我国长期护理保险政策供给特征研究
Research on supply characteristics of China's long-term care insurance policy based on text mining
摘要
Abstract
Objective:To explore the key components of long-term care insurance policy in China to provide insights for enhancing the formulation and implementation of future policy documents.Methods:Utilizing the TF-IDF word vector model to conduct text mining research on over 1 600 Chinese long-term care insurance policy documents from the CLIP Database.Results:Using multidimensional scaling analysis,the policy text content was sorted out three policy threads:political promotion,service models and content,and standard formulation.Conclusions:The government needs to innovate institutional supply,encourage data-driven provision,and enhance crisis learning awareness.关键词
长期护理保险/词频-逆文档频率词向量模型/多维尺度分析/文本挖掘/政策供给Key words
long-term care insurance/TF-IDF word vector model/multidimensional scale analysis/text mining/policy provision引用本文复制引用
刘芷含,李鹤斌,卢志诚,王雪晗..基于文本挖掘的我国长期护理保险政策供给特征研究[J].护理研究,2025,39(19):3242-3255,14.基金项目
国家自然科学基金资助面上项目,编号:72474233 （）
2024年度教育部人文社会科学研究规划基金项目,编号:24YJAZH096 （）
湖南省社科基金智库专项重大项目暨智库专家服务湖南省"十五五"规划重大专题,编号:25ZDAK34 （）
2025年度长沙市哲学社会科学规划课题,编号:2025CSSKKT116 （）
2023年度中南大学研究生自主探索创新项目,编号:2023ZZTS0811 （）
