Constructing Topic Hierarchies from Social Media Data
Yuhao Zhang; Wenji Mao; Daniel Zeng
2015
会议名称2015 IEEE 15th International Conference on Data Mining Workshops
会议日期2015-11-14
会议地点Atlantic City, USA
摘要Constructing topic hierarchies from the data automatically can help us better understand the contents and structure of information and benefit many applications in security informatics. The existing topic hierarchy construction methods either need to specify the structure manually, or are not robust enough for sparse and noisy social media data such
as microblog. In this paper, we propose an approach to automatically construct topic hierarchies from microblog data in a bottom up manner. We detect topics first and then build the topic structure based on a tree combination method. We conduct a preliminary empirical study based on the Weibo data. The experimental results show that the topic hierarchies generated by our method provide meaningful results.

文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14504
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
作者单位Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Yuhao Zhang,Wenji Mao,Daniel Zeng. Constructing Topic Hierarchies from Social Media Data[C],2015.
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