New event detection based on sorted subtopic matching algorithm |
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| Authors: | ZHAI Dong-hai CUI Jing-jing NIE Hong-yu and DU Jia |
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| Institution: | Department of Computer Science and Technology, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, P. R. China; Department of Electronic and Information Engineering, School of Engineering, Tibetan University, Lhasa 850000, P. R. China;Department of Computer Science and Technology, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, P. R. China;Department of Computer Science and Technology, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, P. R. China;Department of Computer Science and Technology, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, P. R. China |
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| Abstract: | How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paper presents a new event detection method for the current new event detection system, based on sorted subtopic matching algorithm and constructs the entire design framework. In this paper, the subtopics contained in old topics (or news stories) are sorted in descending order according to their importance to the topic(or news stories), and form a sorted subtopic sequence. In the process of subtopic matching, subtopic scoring matrix is used to determine whether a new story is reporting a new event. Experimental results show that the sorted subtopic matching model improved the accuracy and effectiveness of the new event detection system in cyberspace. |
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| Keywords: | new event detection topic detection scoring matrix sorted subtopic matching model subtopic sequence |
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