在线医疗社区的用户健康问答文本挖掘及可视化研究  

Research on Text Mining and Visualization of User Health Question and Answer in Online Medical Community

作　　者：崔璐瑶 CUI Luyao

机构地区：[1]西安医学院图书馆,西安710021

出　　处：《四川图书馆学报》2025年第3期30-39,共10页Journal of The Library Science Society of Sichuan

摘　　要：针对医疗问答社区数据量大、规范性弱、数据分散等特点,对用户健康问答文本进行研究,运用文本挖掘和图数据库技术来构建知识图谱,以实现用户健康问答文本信息的可视化呈现及分析。有效将非结构化社区医疗问答文本转化为结构化数据,优化在线医疗社区数据整合与规范性,提升了医疗问答系统的智能化程度,在推动个性化医疗的进步、促进医疗知识的普及与传播、整合健康知识资源等方面具有积极作用。Aiming at the characteristics of lager amount of data,weak standardization and data dispersion in medical question and answer(Q&A)community,this paper studies user health Q&A texts,and uses text mining and graph database technology to construct the knowledge graph,so as to realize the visual presentation and analysis of user health Q&A text information.It effectively transforms unstructured community medical Q&A texts into structured data,optimizes the integration and standardization of online medical community data,and improves the intelligence of medical Q&A system.It has a positive role in promoting the progress of personalized medicine,promoting the popularization and dissemination of medical knowledge,and integrating health knowledge resources.

关 键 词：在线医疗社区 文本挖掘 命名实体识别 关系抽取 图数据库 

分 类 号：G252[文化科学—图书馆学]