User-defined hot topic detection in microblogging

Authors:
Ying Chen;Bo Xu;Hongwei Hao;Shiyu Zhou;Jie Cao
Affiliations:
Chinese Academy of Sciences, Beijing, P.R. China;Chinese Academy of Sciences, Beijing, P.R. China;Chinese Academy of Sciences, Beijing, P.R. China;Chinese Academy of Sciences, Beijing, P.R. China;Institute of Nanjing, Nanjing, P.R. China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

With the rapid popularity of microblogging, an important information communication and spreading channel, hot topic detection in it increasingly attracts researchers' interests. Currently, their interests mostly focus on global event. However, because user-defined topics, denoted by local events, are closer, more useful and helpful to personal life, they should be paid more attention to from a practical point of view. In this paper, we propose a unified framework to detect user-defined hot topics from microblogging posts, which includes user-defined keywords expansion, relevant microblogging filter and hot topic detection. We also propose an effective algorithm for user-defined keywords expansion by fusing importance, relevance and penalty factors. The experimental results indicate the effectiveness of our framework and algorithms.