| 基于LDA主题模型的智慧养老研究主题分析 |
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| 引用本文： | 周梅佳佳,朱庆华.基于LDA主题模型的智慧养老研究主题分析[J].医学信息学杂志,2024,45(3):8-15. |
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| 作者姓名： | 周梅佳佳 朱庆华 |
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| 作者单位： | 1. 南京大学信息管理学院 |
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| 基金项目： | 国家社会科学基金重大项目(项目编号：22&ZD327)；;江苏省高校哲学社会科学研究重大项目(项目编号：2021SJZDA044)； |
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| 摘 要： | 目的/意义揭示国内智慧养老领域研究热点主题。方法/过程选取中国知网作为检索数据库，以2004—2023年智慧养老领域期刊论文、学位论文和会议论文的摘要作为研究数据，运用LDA主题模型进行文本挖掘，利用困惑度和一致性确定最佳主题数量。根据主题-词分布进行主题识别，根据文档-主题分布计算各主题强度。结果/结论 LDA主题模型提取得到国内智慧养老领域主题共9个，其中热点主题为服务架构、数字化转型、社区养老、用户调研。
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| 关 键 词： | 智慧养老 LDA主题模型 主题挖掘 主题演化 |
| 修稿时间： | 2024/2/3 0:00:00 |
Topic Analysis of Smart Elderly Care Research Based on LDA Topic Model |
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| ZHOU Meijiaji,ZHU Qinghua.Topic Analysis of Smart Elderly Care Research Based on LDA Topic Model[J].Journal of Medical Informatics,2024,45(3):8-15. |
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| Authors: | ZHOU Meijiaji ZHU Qinghua |
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| Abstract: | Purpose/Significance To uncover the hot topics of research in the field of smart elderly care in China. Method/Processe CNKI is selected as the search database, and the abstracts of journal papers, dissertations and conference papers in the field of smart elderly care from 2004 to 2023 are used as the research data. Text mining is carried out with the help of the LDA topic model, combining the perplexity degree with the consistency to determine the optimal number of topics in the model. Topic identification is performed based on topic-term distribution, and topic intensity is calculated based on document-topic distribution. Result/Conclusion A total of 9 topics in the field of smart elderly care in China are extracted through the LDA topic model, among which the hot topics are service architecture, digital transformation, community elderly care, and user research. |
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| Keywords: | smart elderly care LDA topic model topic mining topic evolution |
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