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Empirical Study of Online Public Opinion Index Prediction on Real Accidents Data

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Web-Age Information Management (WAIM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8597))

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Abstract

With the increased online public opinion data of real accidents in the last ten years. It has been important for us to attain and analysis the online public opinion data of real accidents. In this paper, an empirical study of online public opinion index prediction over more than 30 real accidents happened in China and other places in the world has been made and experiments results has proved that the online public opinion index prediction method is useful and we got some interesting results. And we have implemented GM (1, 1) model, GM (2, 1) model and chaotic prediction model based prediction method in online opinion for the first time.

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Acknowledgement

Thanks to the support of National Natural Science Foundation of China (NNSF) (Grants No. 90924029), National Culture Support Foundation Project of China (2013BAH43F01), and National 973 Program Foundation Project of China (2013CB329600), (2013CB329606).

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Authors and Affiliations

  1. Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Beijing, 100876, China

    Xiao Long Deng & Yu Xiao Li

Authors
  1. Xiao Long Deng
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  2. Yu Xiao Li
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Corresponding author

Correspondence to Xiao Long Deng .

Editor information

Editors and Affiliations

  1. DEKE Lab., Renmin University of China, Beijing, China

    Yueguo Chen

  2. Institute for Information Systems, Technical University Braunschweig, Braunschweig, Germany

    Wolf-Tilo Balke

  3. Hong Kong Baptist University Dept. Computer Science, Kowloon Tong, Hong Kong SAR

    Jianliang Xu

  4. School of Information, Renmin University of China, Beijing, China

    Wei Xu

  5. School of Computer Science and Technology, Hefei, China

    Peiquan Jin

  6. Department of Computer Science, East China Normal University, Shanghai, China

    Xin Lin

  7. Department of Computer Science, Kean University, Wenzhou, China

    Tiffany Tang

  8. School of Electrical Engineering, Korea University, Seoul, Korea, Republic of (South Korea)

    Eenjun Hwang

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© 2014 Springer International Publishing Switzerland

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Deng, X.L., Li, Y.X. (2014). Empirical Study of Online Public Opinion Index Prediction on Real Accidents Data. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-11538-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11537-5

  • Online ISBN: 978-3-319-11538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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