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基于人民日报微信公众号的大数据分析与疫情防控

The Big Data Analysis And Epidemic Prevention And Control Of The Novel Coronavirus Pneumonia Based On Wechat Official Account Of People's Daily
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摘要 人民日报是党中央的机关报,是国家舆论宣传的主阵地,近几年其微信公众号阅读量排名始终处于领先地位。文章重点采集新冠疫情期间的微信平台数据,通过数据分析,研究推文数与时间的关系,研究评论数最高的20篇推文以及获赞数最高的20条留言,从数据中提取热点事件,关注网络舆论。用文本分析技术提炼推文和读者留言的主题内容,监测网络舆情,追踪社会关注。研究结果显示,在疫情期间,党媒和网民有效互动,上下齐心,互相呼应,对合力打赢疫情防控阻击战具有重要的参考意义。 The people's daily is the official newspaper of the the CPC Central Committee and the main position of the state propaganda.In recent years,It's WeChat official account's reading quantity ranking has always been in the leading position.This paper focuses on the data that collected from WeChat official account's during the novel coronavirus epidemic.Based on data analysis,research the relationship between the number of tweets and time,research the 20 tweets with the highest number of comments and the 20 comments with the highest number of praise,extract hot events from the data,and pay attention to network public opinion.Use text analysis technology to extract the theme content of tweets and readers'comments,monitor network public opinion,and track social concerns.The results show that during the epidemic period,the WeChat official account of people's daily and Internet users effectively interact,work together and respond to each other,which is of great reference significance to win the prevention and control of the epidemic.
作者 谢红霞 XIE Hong-Xia(School of computing,Zhejiang University City College,Hangzhou 310015,China)
出处 《电脑与信息技术》 2020年第6期45-49,共5页 Computer and Information Technology
关键词 微信公众号 人民日报 疫情防控 数据分析 文本分析 wechat official account the people's daily epidemic prevention and control data analysis text analysis
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