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Features for Text Comparison

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Part of the book series: Advances in Soft Computing ((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

  1. Salton, G.: Automatic text processing: the transformation, analysis and retrieval of information by computer. Addison-Wesley, Reading, Massachussets (1988)

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  2. Tam, G.K.T.: Formal Concept Analysis and Text Similarity, Computer Science and Software Engineering, Monash University (January 2004)

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  3. 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)

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  4. 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)

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Ewa Pietka Jacek Kawa

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© 2008 Springer-Verlag Berlin Heidelberg

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Krótkiewicz, M., Wojtkiewicz, K. (2008). Features for Text Comparison. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_52

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  • DOI: https://doi.org/10.1007/978-3-540-68168-7_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68167-0

  • Online ISBN: 978-3-540-68168-7

  • eBook Packages: EngineeringEngineering (R0)

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