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Modeling method of internet public information data mining based on probabilistic topic model

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Abstract

From the perspective of military intelligence work, the rise and widespread use of the network has opened up new horizons for intelligence acquisition, but the continuous increase in the amount of data in the network has made traditional intelligence analysis stretched. Therefore, enriching and developing military intelligence analysis methods have certain practical significance to make up for the shortcomings in current intelligence analysis. The traditional military intelligence analysis method cannot realize the in-depth mining and analysis of the network Shanghai information, obtain the deep intelligence knowledge required by the military, introduce the data mining technology into the military intelligence analysis and construct the network military intelligence analysis based on data mining model. The semantic analysis-based intelligence analysis algorithm in this model has certain superiority compared with the traditional association analysis, which can effectively improve the analysis efficiency and accuracy of military intelligence.

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Acknowledgements

This work was supported by the Natural Science Foundation of Hubei Province of China under Grant No. 2018CFB681.

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Authors and Affiliations

  1. Hubei Province Key Laboratory of Intelligent Robots, Wuhan Institute of Technology, Wuhan, People’s Republic of China

    Shaofei Wu, Jun Liu & Lizhi Liu

  2. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, People’s Republic of China

    Shaofei Wu, Jun Liu & Lizhi Liu

Authors
  1. Shaofei Wu
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  2. Jun Liu
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  3. Lizhi Liu
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Correspondence to Shaofei Wu.

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Wu, S., Liu, J. & Liu, L. Modeling method of internet public information data mining based on probabilistic topic model. J Supercomput 75, 5882–5897 (2019). https://doi.org/10.1007/s11227-019-02885-8

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