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作 者:王海起[1] 徐建波 孔浩然 李留珂 王琼[1] 王志海 WANG Haiqi;XU Jianbo;KONG Haoran;LI Liuke;WANG Qiong;WANG Zhihai(College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,China)
机构地区:[1]中国石油大学(华东)海洋与空间信息学院,山东青岛266580
出 处:《地理空间信息》2022年第10期20-25,共6页Geospatial Information
基 金:国家自然科学基金资助项目(41471322)。
摘 要:选取关键词“路面塌陷”,利用网络爬虫技术收集2013-01-01~2018-01-01期间的8万多条相关微博数据,然后利用BTM模型区分每条微博的主题类别并赋予其情感属性,对“塌陷事件”在时间和空间上的分布特征进行分析;最后引入地理探测器方法的文本角度研究关注度因子与主题因子两者对主观情绪强度的影响机制。结果表明路面塌陷事件的关注度正在逐年下降,塌陷事件数量呈现上升趋势,主观情绪强度较高的多为造成伤亡类的主题事件。通过地理探测器发现相比于关注度因子,主题因子对主观情绪强度空间分异情况的影响力比较大,同时关注度因子、主题因子交互后的因子影响力为非线性增强。为今后路面塌陷相关研究提供参考和指导,为各级决策部门合理处理路面塌陷事件,正确把握舆情态势提供依据。In this paper,we chose a key word“road collapse”,and used the web crawler technology to collect more than 80000 relevant mi-croblog data from January 1,2013 to January 1,2018.And then,we utilized BTM model to gaged the topic category of each microblog and intro-duced the emotion attribute to investigate the spatio-temporal distribution characteristics of the“road collapse”events.Finally,we introduced the geographical detector to check the influence mechanism of attention degree factor and topic factor on the intensity of subjective emotion from the perspective of text.The results indicate that the attention degree is decreasing year by year,and the number of events presents an increasing trend.The topic events with high subjective emotional intensity are mostly those causing casualties.Through the geographical detector,it is found that compared with the attention degree factor,the topic factor manifests a striking influence on the spatial differentiation of subjective emotion intensity,and the influence of two factors after interaction is non-linear enhancement.It provides reference and guidance for future re-search on road collapse,and provides basis for decision-making departments at all levels to deal with road collapse reasonably and grasp public opinion situation correctly.
关 键 词:新浪微博 路面塌陷 主题模型 情感分析 时空特征分析 地理探测器
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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