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Research on Online Public Opinions Analysis Based on Ontology for Network Community

  • Conference paper
Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

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Abstract

According to the requirement of online public opinion analysis, this paper builds an online public opinions extraction and analysis mechanism based on ontology. It builds public opinions’ topics classification index system based ontology with which we can discuss and analyze how and what the netizen want to do. After analyzing the classification of the opinions, we can focus more on major opinions and response immediately. In this paper, we discuss how to building an ontology to classify the different opinions from lots of posters in network community, and we analyze the opinions about Yushu Earthquake information as an sample to discuss the classification result of public opinions further.

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Authors
  1. Xin Jin
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  2. Wei Zhao
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Jin, X., Zhao, W. (2011). Research on Online Public Opinions Analysis Based on Ontology for Network Community. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-24273-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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