Labelling Topics in Weibo Using Word Embedding and Graph-based Method
Zhipeng Jin1; Qiudan Li1; Can Wang1; Daniel D. Zeng1,2; Lei Wang1
2016
会议名称Labelling Topics in Weibo Using Word Embedding and Graph-based Method
页码34-37
会议日期20-22 April 2016
会议地点USA
摘要Nowadays, in China, Weibo is becoming an increasingly popular way for people to know what is happening in the world. Labelling topics is of much importance for better understanding the semantics of topics. Existing works mainly focus on deriving candidate labels by exploring the use of external knowledge, which may be more appropriate for well formatted and static documents. Recently, it has been a new trend to generate labels for sparse and dynamic microblogging environment using summarization method. The challenges of labelling topics are how to obtain coherent candidate labels and how to rank the labels. In this paper, based on the latest research work in deep learning, we propose a novel and unified model for labelling topics in Weibo, which firstly adopts word embedding and clustering method to learn dense semantic representation of topic words and mine the coherent candidate topic labels, then, generates interpretable labels using a graph-based model. Experimental results show that topics labels discovered by our model not only have high topic coherence, but also are meaningful and interpretable. 
关键词Weibo Microblogs Deep Learning Labelling Topics Graph
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/20069
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1.The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences Beijing 100190, China
2.Department of Management Information Systems University of Arizona Tucson, Arizona, USA
推荐引用方式
GB/T 7714
Zhipeng Jin,Qiudan Li,Can Wang,et al. Labelling Topics in Weibo Using Word Embedding and Graph-based Method[C],2016:34-37.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Labelling Topics in (191KB)会议论文 开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhipeng Jin]的文章
[Qiudan Li]的文章
[Can Wang]的文章
百度学术
百度学术中相似的文章
[Zhipeng Jin]的文章
[Qiudan Li]的文章
[Can Wang]的文章
必应学术
必应学术中相似的文章
[Zhipeng Jin]的文章
[Qiudan Li]的文章
[Can Wang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Labelling Topics in Weibo Using Word Embedding and Graph-based Method.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。