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Text Pre-processing for Document Clustering

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Book cover Natural Language and Information Systems (NLDB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5039))

Abstract

The processing performance of vector-based document clustering methods is improved if automatic summarisation is used in addition to established forms of text pre-processing.

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References

  1. Salton, G.: The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs (1971)

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  4. Wood, M.M., Jones, C., Sargeant, J., Reed, P.: Light-weight clustering techniques for short text answers in HCC CAA. In: 10th International Conference on Computer Aided Assessment, Loughborough, UK, pp. 291–305 (2006)

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Epaminondas Kapetanios Vijayan Sugumaran Myra Spiliopoulou

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© 2008 Springer-Verlag Berlin Heidelberg

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Latif, S., Wood, M.M. (2008). Text Pre-processing for Document Clustering. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_44

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  • DOI: https://doi.org/10.1007/978-3-540-69858-6_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69857-9

  • Online ISBN: 978-3-540-69858-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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