Constructing Topic Hierarchies from Social Media Data
Yuhao Zhang; Wenji Mao; Daniel Zeng
2015
Conference Name2015 IEEE 15th International Conference on Data Mining Workshops
Conference Date2015-11-14
Conference PlaceAtlantic City, USA
AbstractConstructing 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.

Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14504
Collection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
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yuhao Zhang,Wenji Mao,Daniel Zeng. Constructing Topic Hierarchies from Social Media Data[C],2015.
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