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Features for Text Comparison

  • Marek Krótkiewicz
  • Krystian Wojtkiewicz
Part of the Advances in Soft Computing book series (AINSC, volume 47)

Summary

The main purpose of this paper is to deliver appropriate tool to find similarities between texts. The area of interest covers comparing large amount of different texts grouped in various areas of knowledge. Similarity is defined as distance between two texts and as this the measure may be calculated as the set of parameters based on features.

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References

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    Salton, G.: Automatic text processing: the transformation, analysis and retrieval of information by computer. Addison-Wesley, Reading, Massachussets (1988)Google Scholar
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    Tam, G.K.T.: Formal Concept Analysis and Text Similarity, Computer Science and Software Engineering, Monash University (January 2004)Google Scholar
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    Metzler, D., Dumais, S., Meek, C.: Similarity Measures for Short Segments of Text. In: Avances in Information Retrival. Lectures Notes in Computer Science, pp. 16–27. Springer, Heidelberg (2007)CrossRefGoogle Scholar
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    Krótkiewicz, M., Wojtkiewicz, K.: Conceptual Ontological Object Knowledge Base and Language. In: 4th International Conference on Computer Recognition Systems - Advances in Soft Computing, pp. 227–234. Springer, Heidelberg (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Marek Krótkiewicz
    • 1
  • Krystian Wojtkiewicz
    • 1
  1. 1.Institute of Mathematics and InformaticsUniversity of Opole 

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