Research of network hotspot detection and tracking model Based on the characteristics of events

摘要：

In this paper, high performance real-time detecting and tracking technology for news events are proposed.The difference to previous TDT articles in the detection and tracking is that this attempt to establish the historical hotspot events Corpus first,and analyze the characteristics of the corpus according to timeline.HMM-based named entity recognition model is also used to find out other event characteristics except those reference timeline.By combining the above two methods and SVM,this study proposes its models in detecting and tracking.Experiments presented in this paper shows the models having a high performance in recall and precision.

关键词： HMM-based named entity recognition model characteristics of the event event index SVM

作者: Wang Hu Xiong Jiashu

作者单位: School of Management Wuhan University of Technology Wuhan,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 304-308

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）