计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 5-9.
张佳凡,郭斌,路新江,於志文,周兴社
ZHANG Jia-fan, GUO Bin, LU Xin-jiang, YU Zhi-wen and ZHOU Xing-she
摘要: 以新浪微博为研究对象,研究了基于移动群智数据的城市热点事件感知方法,对热点事件进行发现与分类。面向不同的应用需求,可将发现的热点事件分为物理事件与虚拟事件两大类。采用的方法首先根据热词的词频变化特征对新浪微博中的热词进行有效挖掘,然后根据热词的上下文语境进行层次聚类以得到热点事件描述。此外,通过分析信息量特征、时序特征及原创微博数目特征,采用不同方法进行事件分类。实验结果表明,不同的分类方法均可达到较高的准确率。
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