Constructing Topic Hierarchies from Social Media Data
文献类型：会议论文
| 作者 | Yuhao Zhang ; Wenji Mao; Daniel Zeng
|
| 出版日期 | 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 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14504]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 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]. 见:2015 IEEE 15th International Conference on Data Mining Workshops. Atlantic City, USA. 2015-11-14. |
入库方式： OAI收割
来源：自动化研究所
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