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International Conference on Web-Age Information Management

WAIM 2016: Web-Age Information Management pp 356–368Cite as

Detecting Live Events by Mining Textual and Spatial-Temporal Features from Microblogs

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9659))

Abstract

As microblogging services on the mobile devices are widely used, microblogs can be viewed as a kind of event sensor to perceive the dynamic behaviors in the city. In particular, detecting live events in microblogs, such as mass gathering, emergencies, etc., can help to understand what happened from the point of view of people who are present. For identifying the live events from a large number of short and noisy microblogs, the paper builds a generative probabilistic model named the ST-LDA model to cluster the microblogs whose semantics, time and space are similar into the same topic, and then determines the live events from the topics by an HMM-based method. The paper conducts the experiments on the real microblogs from weibo.com. Experimental results show that our method can detect live events more accurately and more completely than the LDA-based method and the TimeLDA-based method.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant No. 61472408 and No. 61379044.

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Authors and Affiliations

  1. State Key Laboratory of Computer Sciences, Institute of Software, Chinese Academy of Sciences, Beijing, China

    Zhejun Zheng, Beihong Jin, Yanling Cui & Qiang Ji

  2. University of Chinese Academy of Sciences, Beijing, China

    Zhejun Zheng, Beihong Jin, Yanling Cui & Qiang Ji

Authors
  1. Zhejun Zheng
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  2. Beihong Jin
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  3. Yanling Cui
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  4. Qiang Ji
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Corresponding author

Correspondence to Beihong Jin .

Editor information

Editors and Affiliations

  1. Peking University , Beijing, China

    Bin Cui

  2. The George Washington University , Washington, D.C., USA

    Nan Zhang

  3. Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Jianliang Xu

  4. University of Texas Rio Grande Valley, Edinburg, Texas, USA

    Xiang Lian

  5. Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China

    Dexi Liu

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Zheng, Z., Jin, B., Cui, Y., Ji, Q. (2016). Detecting Live Events by Mining Textual and Spatial-Temporal Features from Microblogs. In: Cui, B., Zhang, N., Xu, J., Lian, X., Liu, D. (eds) Web-Age Information Management. WAIM 2016. Lecture Notes in Computer Science(), vol 9659. Springer, Cham. https://doi.org/10.1007/978-3-319-39958-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-39958-4_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39957-7

  • Online ISBN: 978-3-319-39958-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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