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人间鼠疫疫情中基于舆情通的网络舆情监测
引用本文:游培松,田富彰,米宝玉,李胜,张琪,张爱萍,魏柏青,崔百忠,杨建国,熊浩明. 人间鼠疫疫情中基于舆情通的网络舆情监测[J]. 中国地方病防治杂志, 2020, 0(1): 6-8,89
作者姓名:游培松  田富彰  米宝玉  李胜  张琪  张爱萍  魏柏青  崔百忠  杨建国  熊浩明
作者单位:青海省地方病预防控制所
基金项目:国家卫生健康委员会鼠疫防治研究重点实验室(共建)2019PT310004;青海省鼠疫研究与防控重点实验室(2020年度项目资助)。
摘    要:目的探索人间鼠疫疫情中网络舆情监测方法,为其他人间鼠疫疫情网络舆情监测提供借鉴。方法基于人间鼠疫疫情中的网络数据,利用舆情通平台分析,对人间鼠疫疫情的网络舆情进行部分展示。结果舆情通系统可监测人间鼠疫疫情的网络舆情变化,通过网络大数据分析获得可视化舆情信息。结论舆情通系统可用于人间鼠疫疫情网络舆情监测,掌握网络舆情的发展和走向,为网络舆情管控赢得时机。

关 键 词:鼠疫  网络舆情  舆情监测  大数据

Monitoring methods of internet public opinion in human plague epidemic situation
YOU Pei-song,TIAN Fu-zhang,MI Bao-yu,LI Sheng,ZHANG Qi,ZAHNG Ai-ping,WEI Bai-qing,CUI Bai-zhong,YANG Jian-guo,XIONG Hao-ming. Monitoring methods of internet public opinion in human plague epidemic situation[J]. Chinese Journal of Control of Endemic Disenaces, 2020, 0(1): 6-8,89
Authors:YOU Pei-song  TIAN Fu-zhang  MI Bao-yu  LI Sheng  ZHANG Qi  ZAHNG Ai-ping  WEI Bai-qing  CUI Bai-zhong  YANG Jian-guo  XIONG Hao-ming
Affiliation:(Qinghai Insititute for Endemic Prevention and Control,Xining 811602,China)
Abstract:Objective To explore the monitoring methods of internet public opinion in human plague epidemic situation and provide reference for other human plague epidemic situation.Methods Based on the network data of human plague epidemic situation, the network public opinion of human plague epidemic situation is partially displayed using the analysis of public opinion communication platform.Results The public opinion communication system can monitor the changes of public opinion on the Internet of human plague epidemic situation, and obtain the visual public opinion information through the analysis of big data on the Internet.Conclusion The public opinion communication system can be used to monitor the public opinion on the internet of human plague epidemic situation, grasp the development and trend of the public opinion on the internet, and win the opportunity for the control of the public opinion on the internet.
Keywords:Plague  Internet public opinion  Public opinion monitoring  Big data
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