摘要
该文介绍了在大数据时代背景下针对药品安全网络舆情监测现状,梳理分析了药品安全网络舆情监测系统需求,根据需求和网络舆情监测的特点,提出了药品安全网络舆情监测系统的软件设计框架,介绍了实现该系统所需的主要舆情监测处理技术。该系统设计该设计集监测、预警、分析、报告于一体,合理融合了大数据处理与自然语言处理技术,同时提出了用传统统计分析和深度学习方法来解决舆情分析中“文本分类和情感分析”等关键技术问题。最后,从用户交互的层面给出了药品安全网络舆情监测系统的可视化方案,为药品安全行业网络舆情监测提供了一种实现途径。
This article introduces the background in the era of big data in drug safety network public opinion monitoring at present,the comb demand,drug safety network public opinion monitoring system are analyzed according to the requirements and the charac⁃teristics of the network public opinion monitoring,drug safety network of public opinion monitoring system software design frame⁃work,this paper introduces the implementation of the system main public opinion monitoring and treatment technology.The design of the system integrates monitoring,early warning,analysis and report,reasonably integrates big data processing and natural lan⁃guage processing technology,and proposes the traditional statistical analysis and deep learning methods to solve the"text classifi⁃cation and emotion analysis"and other key technical problems in public opinion analysis.Finally,the visualization scheme of the drug safety network public opinion monitoring system is presented from the perspective of user interaction,which provides a way to realize the network public opinion monitoring in the drug safety industry.
作者
吴文慧
李亮
葛渟
华萍
WU Wen-hui;LI Liang;GE Ting;HUA Ping(Jiangxi Food and Drug Safety Monitoring Center,Nanchang 330000,China;Yichun Market Supervision Administration,Yic-hun 336000,China)
出处
《电脑知识与技术》
2021年第5期86-88,共3页
Computer Knowledge and Technology
基金
江西省药品监督管理局项目(项目编号:2019GL05)。
关键词
药品安全
网络舆情
监测
大数据
系统设计
drug safety
online public opinion
monitoring
big data
system design
