标题:A sudden topic detection method for Chinese micro-blog
作者:Liao, Chuan Zhu ;Wang, Wei ;Jiang, Ming Yan
通讯作者:Jiang, M Y
作者机构:[Liao, Chuan Zhu ] Department of Electronic Engineering of Zhangzhou Institute of Technology, 363000 Zhangzhou, China;[Jiang, Ming Yan ] School of Inf 更多
会议名称:2nd International Conference on Precision Mechanical Instruments and Measurement Technology, ICPMIMT 2014
会议日期:30 May 2014 through 31 May 2014
来源:Applied Mechanics and Materials
出版年:2014
卷:602-605
页码:2174-2179
DOI:10.4028/www.scientific.net/AMM.602-605.2174
关键词:Emergency detection; Incremental fuzzy clustering; Sudden topic detection
摘要:With the characteristics of timeliness, rapid spread and easy access, micro-blog has made it possible to timely unearth emergencies and dynamically track the latest development. Considering frequency and timeliness of the words as well as the influence of resources, this paper proposes a sudden topic detection method, especially for micro-blog, and establishes a context-based weight evaluation model. Compared with semantic similarity model, this context-based model is especially more adaptable to micro-blog. Real experiment data from micro-blog proves that the proposed methods could detect sudden incidents effectively with big data processing capacity and low time complexity. © (2014) Trans Tech Publications, Switzerland.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906500188&doi=10.4028%2fwww.scientific.net%2fAMM.602-605.2174&partnerID=40&md5=c6577e360b8a2aa83939bfd12e9abfd3
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