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Textual Keyword Optimization Using Priori Knowledge

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International Conference on Applications and Techniques in Cyber Security and Intelligence (ATCI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 580))

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Abstract

The accuracy of textual keyword extraction is a major factor which influences the text semantic processing. Up to now, there is still much room to improve the precision of textual keyword extraction. To solve the problem, this paper proposes a method to optimize the textual keyword using priori knowledge. First, some priori knowledge for keyword extraction is discussed. Then, a keyword quality evaluation method based on semantic distance between keywords is proposed to judge whether a keyword is good or bad. Next, a textual keyword optimization method is proposed based on the keyword evaluation. Finally, some experiments are carried out, the results of which show that the proposed method can improve the accuracy of keyword extraction on domain texts.

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Acknowledgments

This research is partly supported by the Science Foundation of Shanghai under Grant No. 16ZR1435500, by the National Science Foundation of China under Grant No. 61562020, 61300202, 61332018, 61403084, by Program of Science and Technology Commission of Shanghai Municipality under Grant No. 15530701300, 15XD15202000, 16511101700, by the technical research program of Chinese ministry of public security under Grant No. 2015JSYJB26), and by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China under Grant No. 71621002.

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Authors and Affiliations

  1. Shanghai University of Political Science and Law, Shanghai, China

    Li Li

  2. Shanghai Institute of Technology, Shanghai, China

    Xiao Wei

  3. The Third Research Institute of the Ministry of Public Security, Shanghai, China

    Zheng Xu

Authors
  1. Li Li
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  2. Xiao Wei
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  3. Zheng Xu
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Corresponding author

Correspondence to Zheng Xu .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Victoria, Australia

    Jemal Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, New South Wales, Australia

    Rafiqul Islam

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Li, L., Wei, X., Xu, Z. (2018). Textual Keyword Optimization Using Priori Knowledge. In: Abawajy, J., Choo, KK., Islam, R. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence. ATCI 2017. Advances in Intelligent Systems and Computing, vol 580. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-67071-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-67071-3_16

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  • Publisher Name: Edizioni della Normale, Cham

  • Print ISBN: 978-3-319-67070-6

  • Online ISBN: 978-3-319-67071-3

  • eBook Packages: EngineeringEngineering (R0)

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