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Measuring Peculiarity of Text Using Relation between Words on the Web

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The Role of Digital Libraries in a Time of Global Change (ICADL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6102))

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Abstract

We define the peculiarity of text as a metric of information credibility. Higher peculiarity means lower credibility. We extract the theme word and the characteristic words from text and check whether there is a subject-description relation between them. The peculiarity is defined using the ratio of the subject-description relation between a theme word and characteristic words. We evaluate the extent to which peculiarity can be used to judge by classifying text from Wikipedia and Uncyclopedia in terms of the peculiarity.

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References

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Author information

Authors and Affiliations

  1. School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo, 671-2280, Japan

    Takeru Nakabayashi

  2. Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo, 671-2280, Japan

    Takayuki Yumoto, Manabu Nii & Yutaka Takahashi

  3. School of Human Science and Environment, University of Hyogo, 1-1-12 Shinzaike-honcho, Himeji, Hyogo, 670-0092, Japan

    Kazutoshi Sumiya

Authors
  1. Takeru Nakabayashi
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  2. Takayuki Yumoto
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  3. Manabu Nii
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  4. Yutaka Takahashi
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  5. Kazutoshi Sumiya
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Editor information

Editors and Affiliations

  1. University of Technology, Sydney, PO Box 123, 2007, Broadway, NSW, Australia

    Gobinda Chowdhury

  2. Nanyang Technological University, 31 Nanyang Link, 637718, Singapore

    Chris Koo

  3. The University of Queensland, Brisbane, QLD 4072, Australia

    Jane Hunter

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© 2010 Springer-Verlag Berlin Heidelberg

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Nakabayashi, T., Yumoto, T., Nii, M., Takahashi, Y., Sumiya, K. (2010). Measuring Peculiarity of Text Using Relation between Words on the Web. In: Chowdhury, G., Koo, C., Hunter, J. (eds) The Role of Digital Libraries in a Time of Global Change. ICADL 2010. Lecture Notes in Computer Science, vol 6102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13654-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-13654-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13653-5

  • Online ISBN: 978-3-642-13654-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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