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On-line event detection from web news stream

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4 Author(s)
Yan Fu ; College of Information Science and Technology, Beijing Normal University, Beijing 100875, China ; Ming-quan Zhou ; Xue-song Wang ; Hua Luan

In order to improve detection efficiency of on-line web news stream, we propose a new method to accomplish detection task with window-adding, named entity recognition and suffix tree clustering. In our method, we make full use of informative elements of news stream(such as date, place, person and so on) to help detection process, and this method decreases text similarity computation greatly. Experimental results show that our method improves on-line event detection performance, without sacrificing detection precision.

Published in:

Pervasive Computing and Applications (ICPCA), 2010 5th International Conference on

Date of Conference:

1-3 Dec. 2010