情报科学 ›› 2024, Vol. 42 ›› Issue (2): 119-129.

• 业务研究 • 上一篇    下一篇

基于语义本体的在线健康信息行为与情感交互关系
及情感画像分析

  

  • 出版日期:2024-02-05 发布日期:2024-06-07

  • Online:2024-02-05 Published:2024-06-07

摘要:

【目的/意义】探寻在线健康社区健康信息行为与情感之间交互关系,帮助社区疏导与关怀用户情绪,发挥
社区情感支持作用。【方法/过程】研究以“方面词-情感”关系三元组抽取方式挖掘社区“行为-情感”之间的语义结
构关系,进而建立“行为-情感”本体。在此基础上从多个视角及路径揭示行为与情感之间交互关联。【结果/结论】
研究发现,在线健康信息行为与情感之间存在交互关系,且不同健康信息行为下与情感交互关系也具有明显差异。
健康分享行为下,个体的情感显著影响个体行为。健康分享行为与积极情感的组合一定程度上促进知识的信任及
接纳程度;健康信息搜寻行为下,个体的消极情感显著影响个体不同行为;积极情感通过健康信息分享行为作为中
介对健康信息偶遇行为产生积极影响;情感对健康信息规避行为起到调节作用。【创新/局限】语义本体技术丰富了
健康信息行为与情感之间交互关系及路径的方法研究,为社区监控舆情及疏散用户情绪提供了建议参考。研究有
待于进一步探索多情境下行为与情感相互作用机制。

Abstract:

【Purpose/significance】 To explore the interactive relationship between online health information behavior and emotion,
which is helpful for users' emotion mitigation and solicitude, exert the function of emotion support of online health community.
【Method/process】 In this paper, the "Aspect Word-Emotion" triplet extraction method is proposed to explore the semantic structure
property of "Behavior and Emotion", then the "Behavior-Emotion" ontology can be constructed, further on this basis, the interactive re⁃
lationship between behavior and emotion is revealed from multiple perspective and paths.【Result/conclusion】 The study demonstrates
that online health information behavior is closely related to emotion, while there are significant differences in interactive relationship
between different behavior and emotion. Individual emotion of health information sharing behavior has a positive effect in term of indi⁃
vidual behavior. The combination of healthy sharing behavior and positive emotion promotes the trust and acceptance of knowledge of
online health community user to a certain extent. Also, Individual negative emotion significantly affects different information behavior
under perspective of health information seeking behavior. Moreover, health information sharing behavior as a mediator has the positive
regulation of health information encounter behavior through positive emotion. Besides, emotion plays a moderating role on health infor⁃
mation avoidance behavior.
Innovation/limitation】 This study enriches current research methodology on the interactive relationship
between health information behavior and emotion based on semantic ontology technology, and provide insightful suggestions for OHCs
to monitor public opinion and evacuate users' emotions. The interaction mechanism between behavior and emotion from multiple situa⁃
tions is needed to be further explored.