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Text Mining – Prerequisite For Knowledge Management Systems

Author

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  • Dragoº Marcel VESPAN

    (The Academy of Economic Studies from Bucharest)

Abstract

Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of applicability and emphasizes the importance of text mining in knowledge management systems.

Suggested Citation

  • Dragoº Marcel VESPAN, 2009. "Text Mining – Prerequisite For Knowledge Management Systems," Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 6-7 2009 21, Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", DEPARTMENT FOR MANAGEMENT OF THE DEFENCE RESOURCES AND EDUCATION.
    • Handle: RePEc:rom:confkm:21
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    File URL: https://ccasp.ase.ro/KM2009/21.pdf
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    More about this item

    Keywords

    text mining; knowledge systems; information retrieval;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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