Real-time Event Detection based on Geo Extraction and Temporal Analysis
Xiao Feng1; Shuwu Zhang1; Wei Liang1; Zhe Tu2
2014-12
会议名称International Conference on Advanced Data Mining and Applications (ADMA)
会议录名称In Proceedings of the 10th International Conference on Advanced Data Mining and Applications (ADMA)
会议日期2014-12
会议地点Guilin, China
摘要
Abstract.  Microblogging  is  an  important  source  of  information about  what  is happening in the real world. In this work, we propose a novel approach for real-time  event  detection  targeting  accident  and  disaster  events  (ADEs)  using microblogs from Sina Weibo. Our aim is to detect out every microblog which reports a real-world occurrence of a target event from the microblog stream. We formulate  the  event  detection  problem  as  a  classification  problem  using microblog-based  features,  linguistic  features,  content  features,  and  event  features. We propose a street-level location extraction method based on the textual content  to  cooperate  geo-information  extraction.  In  order  to  deliver  fresh events, we use a temporal analysis method to filter away past events. We compare  our  method  with  two  state-of-the-art  baselines  on  event  detection,  and achieve improvements in both precision and recall. 
关键词Event Detection Microblogs Geo-information Extraction Temporal Analysis
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11230
专题数字内容技术与服务研究中心_新媒体服务与管理技术
作者单位1.Institue of Automation, Chinese Academy of Sciences, Beijing, China
2.Beijing University of Chemical Technology, Beijing, China
推荐引用方式
GB/T 7714
Xiao Feng,Shuwu Zhang,Wei Liang,et al. Real-time Event Detection based on Geo Extraction and Temporal Analysis[C],2014.
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