遇见数据集

The category of health industry topic.

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Figshare2025-08-07 更新2026-04-28 收录
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ObjectivesThis paper aims to measure the government’s attention to the health industry accurately, which is crucial for understanding policy directions and resource allocation strategies.MethodsAddressing the limitations of traditional word frequency methods, such as restricted word segmentation and ambiguous terms, the BERTopic (Bidirectional Encoder Representations from Transformers Topic Modeling) is applied to measure government attention at the sentence level. Rule matching in an ambiguous dictionary, which is expanded by utilizing the word2vec model, is to achieve accurate identification of unclassified topics. This approach reveals policy concerns at the semantic level.ResultsThe BERTopic model is a more precise instrument for evaluating the health industry’s attention. Furthermore, significant regional differences are detected. Attention in the Northeast has declined, remained stable in the Central and Western regions, and continuously increased in the Eastern region. The main areas of government attention in the health industry are sports and fitness, environmental governance, medical services, and healthy older individuals’ care. The mode of medical care in healthy retirement has evolved to a combination of medical care and health preservation.ConclusionsIt is recommended that the balanced development of the health industry across regions be promoted based on specific local conditions. Efforts should also be made to enhance the efficiency of medical services, optimize the allocation mechanism for medical resources, establish a systematic medical treatment plan, and encourage the comprehensive and coordinated development of the health industry.

研究目标 本研究旨在精准衡量政府对健康产业的关注度,这对于理解政策导向与资源配置策略至关重要。 研究方法 针对传统词频方法存在分词受限、术语歧义等局限,本研究采用BERTopic(基于Transformer双向编码器表征的主题建模,Bidirectional Encoder Representations from Transformers Topic Modeling)方法,在句子层面量化政府关注度。通过引入词向量模型(word2vec)扩充歧义词典并开展规则匹配,实现未分类主题的精准识别,该方法可从语义层面揭示政策关切点。 研究结果 实验结果表明,BERTopic模型是评估健康产业关注度的更精准工具。同时,研究发现健康产业关注度存在显著区域差异:东北地区关注度呈下降趋势,中部与西部地区基本保持稳定,东部地区则持续提升。当前政府对健康产业的主要关切领域包括运动健身、环境治理、医疗服务以及老年健康照护。健康养老的医疗模式已逐步发展为医养结合模式。 研究结论 本研究建议,应结合各地实际情况推动健康产业区域均衡发展;同时需提升医疗服务效率,优化医疗资源配置机制,建立系统化医疗保障方案,并促进健康产业的全面协调发展。

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2025-08-07
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