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《Journal of Intelligence》 2015-02
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Micro-blog Emergencies Detection Approach Based on the H-index of Burst Words

Zhang Xiaoxia;Wang Mingyang;Jia Chongchong;Dong Xu;College of Information and Computer Engineering,Northeast Forestry University;  
Mining emergencies accurately and efficiently from micro-blogs is one of the hottest issues in recent years.Based on the emergency of words and their coverage degree on documents,the concept of H-index of burst words was proposed to extract burst characters that could effectively represent the emergencies.By constructing the BurstWords-Document matrix,the Hierarchical Clustering Algorithm was used to cluster the burst documents.Based on the original micro-blog in each cluster,the emergencies were determined.Experiments on Sina Micro-blog showed that the approach proposed in this paper could effectively identify micro-blog emergencies.
【Fund】: 中央高校基本科研业务费专项资金项目“基于社会网络特征提取的群体性突发事件预警方法研究”(编号:2572014DB05);; 国家自然科学基金“群体性突发事件预警的超网络方法研究”(编号:71473034);; 中国博士后科学基金面上基金“考虑科技动态演化特征的热点技术领域预测研究”(编号:2012M520711)
【CateGory Index】: TP393.092;TP391.1
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