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People Relation Extraction of Chinese Microblog Based on SVMDT-RFC

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Communications, Signal Processing, and Systems (CSPS 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 423))

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Abstract

People relation extraction is a significant topic in information extraction field. While in traditional study, the feature of extraction lexical and semantic was attached importance to, and the function of classifier was neglected, furthermore, there is great difference between microblog language materials and that of tradition. When it mentioned traditional classification algorithm, its low correctness and the inaccuracy to identification of fuzzy sample become the reason of being used little. In this paper, the traditional classification algorithm was improved. Using SVMDT-Random Forest and we designed, the fuzzy sample classifying ability increased, which remedied the shortcomings of SVM and Random Forest effectively. By testing the microblog language materials, the result indicated that this method can improve the performance of people relation extraction.

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Acknowledgements

This work was supported by the Key Program of National Natural Science of China (Grant No. 61431008), BUPT Youth Innovation Project (BUPT-2015RC01).

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Authors and Affiliations

  1. Key Lab of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China

    Ge Zhou, Chenglin Zhao & Fangmin Xu

  2. The State Radio Monitoring_center Testing Center, Beijing, China

    Xiao Peng

Authors
  1. Ge Zhou
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  2. Xiao Peng
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  3. Chenglin Zhao
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  4. Fangmin Xu
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Corresponding authors

Correspondence to Ge Zhou or Fangmin Xu .

Editor information

Editors and Affiliations

  1. University of Texas at Arlington , Arlington, Texas, USA

    Qilian Liang

  2. Tianjin Normal University , Tianjin, China

    Jiasong Mu

  3. Tianjin Normal University , Tianjin, China

    Wei Wang

  4. Tianjin Normal University , Tianjin, China

    Baoju Zhang

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© 2018 Springer Nature Singapore Pte Ltd.

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Zhou, G., Peng, X., Zhao, C., Xu, F. (2018). People Relation Extraction of Chinese Microblog Based on SVMDT-RFC. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_85

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  • DOI: https://doi.org/10.1007/978-981-10-3229-5_85

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3228-8

  • Online ISBN: 978-981-10-3229-5

  • eBook Packages: EngineeringEngineering (R0)

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