Latent Semantic Analysis for German Literature Investigation

  • Authors:
  • Preslav Nakov

  • Affiliations:
  • -

  • Venue:
  • Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
  • Year:
  • 2001

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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.