首页|基于LDA主题模型的智慧养老研究主题分析

基于LDA主题模型的智慧养老研究主题分析

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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.
Topic Analysis of Smart Elderly Care Research Based on LDA Topic Model
Purpose/Significance To uncover the hot topics of research in the field of smart elderly care in China.Method/Pro-cesse 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,com-bining 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 ar-chitecture,digital transformation,community elderly care,and user research.

smart elderly careLDA topic modeltopic miningtopic evolution

周梅佳佳、朱庆华

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南京大学信息管理学院 南京 210023

江苏省苏科创新战略研究院 南京 210019

智慧养老 LDA主题模型 主题挖掘 主题演化

国家社会科学基金重大项目江苏省高等学校哲学社会科学研究重大项目

22&ZD3272021SJZDA044

2024

医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
年,卷(期):2024.45(3)
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