摘要
随着2020年初新冠肺炎的汹涌来袭,社会秩序遭受到冲击,人民生活也受到影响,从1月23号开始,全国各个省份陆续启动了重大突发公共卫生事件I级响应,在大多数地区“封城”期间,微博成为了人们获取最新疫情资讯的重要途径之一。通过网络爬虫技术抓取了浙江政务微博在疫情期间发布的有关疫情的微博,使用Nvivo软件进行文本分析并根据疫情趋势把疫情分为疫情增长期、疫情爆发期和疫情减缓期;并从微博质量和发布时间分析了政务微博的效用性。总结了政务微博在疫情防控中的作用,能够及时地进行疫情通报、与“大数据”技术应用紧密结合,为舆情预防提供检测和预警作用。
With the surging attack of COVID-19 in early 2020, social order has been impacted, and people’s lives have also been affected. Since January 23, all provinces across the country have started level I response to major public health emergencies. During the “closure” of most regions, microblog has become one of the important ways for people to obtain the latest epidemic information. The microblog about the epidemic situation released by Zhejiang government microblog during the epidemic period was captured by the web crawler technology, and the text was analyzed by Nvivo software. According to the epidemic trend, the epidemic situation was divided into epidemic growth period, epidemic outbreak period and epidemic slowdown period;it also analyzes the effectiveness of government microblog from the quality and release time of microblog. This paper summarizes the role of government microblog in epidemic prevention and control, which can timely report the epidemic situation, closely combine with the application of “big data” technology, and provide detection and early warning for public opinion prevention.
出处
《运筹与模糊学》
2022年第3期613-621,共9页
Operations Research and Fuzziology
