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Dynamic Semantic Network Analysis of Unstructured Text Corpora

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Analysis of Images, Social Networks and Texts (AIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10716))

Abstract

The natural language structure can be viewed as weighted semantic network. Such representation gives an option to investigate the text corpus as the model of the subject domain. In this paper we propose the mechanism of the semantic network identification and construction. We apply the methodological instrument for the social media text analysis and trace the dynamics of the discussions about 1917 year within the internet communities. Network changes illustrate the changes of the interest to different topics. The proposed mechanism can be used for the monitoring of the different social processes and phenomenal in online social networks and media.

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References

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Author information

Authors and Affiliations

  1. Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia

    Alexander Kharlamov

  2. Moscow State Linguistic University, Moscow, Russia

    Alexander Kharlamov

  3. Higher School of Economics, National Research University, Moscow, Russia

    Alexander Kharlamov, Galina Gradoselskaya & Sofia Dokuka

Authors
  1. Alexander Kharlamov
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  2. Galina Gradoselskaya
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  3. Sofia Dokuka
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Corresponding author

Correspondence to Alexander Kharlamov .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Wil M.P. van der Aalst

  2. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  3. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  4. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  5. Skolkovo Institute of Science and Technology, Moscow, Russia

    Victor Lempitsky

  6. National Research University Higher School of Economics, Moscow, Russia

    Irina A. Lomazova

  7. Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  8. LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

    Amedeo Napoli

  9. University of Hamburg, Hamburg, Germany

    Alexander Panchenko

  10. University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  11. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  12. Indiana University, Bloomington, Indiana, USA

    Stanley Wasserman

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Kharlamov, A., Gradoselskaya, G., Dokuka, S. (2018). Dynamic Semantic Network Analysis of Unstructured Text Corpora. In: van der Aalst, W., et al. Analysis of Images, Social Networks and Texts. AIST 2017. Lecture Notes in Computer Science(), vol 10716. Springer, Cham. https://doi.org/10.1007/978-3-319-73013-4_36

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  • DOI: https://doi.org/10.1007/978-3-319-73013-4_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73012-7

  • Online ISBN: 978-3-319-73013-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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