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Evaluation von Algorithmen zur Textklassifikation

Author

Listed:
  • Felden, Carsten
  • Bock, Heiko
  • Gräning, André
  • Molotowa, Lana
  • Saat, Jan

Abstract

Die Informationsflut, die dem Entscheidungsträger im Internet aber auch in internen Quellen begegnet, lässt sich nur schwer bewältigen, Daher ist die verfügbare Menge der Informationen zunächst in interessante und uninteressante Informationen zu unterteilen. Dem Entscheidungsträger sind anschließend lediglich die erstgenannten zuzuführen. Dazu werden im Rahmen dieses Arbeitspapiers Algorithmen auf ihre Eignung für eine Klassifikation untersucht. Die erzielten Ergebnisse zeigen, dass die Frage nach der optimalen Kombination der Vorverarbeitungsschritte und der Algorithmen nicht allgemein gültig beantwortet werden kann. Verschiedene Kombinationen, die als viel versprechend erscheinen, müssen entsprechend der Rahmenbedingungen getestet werden, Letztlich ist für den Einzelfall die beste Kombination zu wählen.

Suggested Citation

  • Felden, Carsten & Bock, Heiko & Gräning, André & Molotowa, Lana & Saat, Jan, 2006. "Evaluation von Algorithmen zur Textklassifikation," Freiberg Working Papers 2006/10, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    • Handle: RePEc:zbw:tufwps:200610
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    References listed on IDEAS

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    More about this item

    Keywords

    Text Mining; Information Retrieval; Algorithmus-Evaluation;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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