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Written Texts as Statistical Mechanical Problem

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Advances in Information Retrieval Theory (ICTIR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5766))

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Abstract

In this article we present a model of human written text based on statistical mechanics consideration. The empirical derivation of the potential energy for the parts of the text and the calculation of the thermodynamic parameters of the system, show that the “specific heat” corresponds to the semantic classification of the words in the text, separating keywords, function words and common words. This can give advantages when the model is used in text searching mechanisms.

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Author information

Authors and Affiliations

  1. EPS, Universidad Autónoma de Madrid, Spain

    Kostadin Koroutchev & Jian Shen

  2. Depto. de Física Fundamental, UNED, Spain

    Elka Korutcheva

Authors
  1. Kostadin Koroutchev
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  2. Elka Korutcheva
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  3. Jian Shen
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Editor information

Editors and Affiliations

  1. Department of Computing Science, Sir Alwyn Williams Building, Lilybank Gardens, University of Glasgow, G12 8QQ, Glasgow, Scotland, UK

    Leif Azzopardi

  2. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK

    Gabriella Kazai  & Stephen Robertson  & 

  3. Knowledge Media Institute,, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  4. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, United Kingdom

    Milad Shokouhi  & Emine Yilmaz  & 

  5. School of Computing, The Robert Gordon University, St Andrew Street, AB25 1HG, Aberdeen, UK

    Dawei Song

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© 2009 Springer-Verlag Berlin Heidelberg

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Koroutchev, K., Korutcheva, E., Shen, J. (2009). Written Texts as Statistical Mechanical Problem. In: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_22

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  • DOI: https://doi.org/10.1007/978-3-642-04417-5_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04416-8

  • Online ISBN: 978-3-642-04417-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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