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Latent Semantic Analysis for German Literature Investigation

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Computational Intelligence. Theory and Applications (Fuzzy Days 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

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Abstract

The paper presents the results of experiments of usage of LSA for analysis of textual data. The method is explained in brief and special attention is pointed on its potential for comparison and investigation of German literature texts. Two hypotheses are tested: 1) the texts by the same author are alike and can be distinguished from the ones by different person; 2) the prose and poetry can be automatically discovered.

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Author information

Authors and Affiliations

  1. Sofia University, Rila Solutions 27, Acad. G. Botchev Str, Sofia, Bulgaria

    Preslav Nakov

Authors
  1. Preslav Nakov
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany

    Bernd Reusch

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© 2001 Springer-Verlag Berlin Heidelberg

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Nakov, P. (2001). Latent Semantic Analysis for German Literature Investigation. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_83

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  • DOI: https://doi.org/10.1007/3-540-45493-4_83

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

  • eBook Packages: Springer Book Archive

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