摘要
爬取得到新浪微博数据,通过文本预处理并提取具有签到位置的微博数据,利用情感分析、地理统计等方法探讨了湖北省微博用户对于新冠肺炎疫情的关注度和情感上的时空差异。研究结果表明,疫情公众关注度与受灾严重程度具有大致相似的空间分布,公众情感态度大致可分为3个阶段,由最初的担忧恐惧到团结振作再到充满信心,特殊节日当天公众情感有所上升,春节是公众情绪由上下起伏到平稳的一个节点。
In this paper,we obtained Sina MicroBlog data by crawling,preprocessed and extracted MicroBlog data with check-in locations bytext.And then,we used sentiment analysis,geographical statistics and other methods to explore spatio-temporal differences of MicroBlog users’attention to COVID-19 and their emotions in Hubei Province.The results show that the public attention of epidemic and the disaster severity have a roughly similar spatial distribution.The public emotional attitude can be roughly divided into three stages,from initial worry and fear to unity and excitement and finally full of confidence.Public sentiment on the special holiday day has increased.The Spring Festival is a node when public sentiment goes from ups and downs to stable.
作者
孔宇
王海起
李学伟
KONG Yu;WANG Haiqi;LI Xuewei(College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,China)
出处
《地理空间信息》
2022年第7期5-9,共5页
Geospatial Information
基金
国家自然科学基金资助项目(41471322)。
关键词
新冠肺炎
微博数据
情感分析
空间分布
COVID-19
MicroBlog data
sentiment analysis
spatial distribution
