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Text Clustering on Oral Conversation Corpus

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Modern Advances in Intelligent Systems and Tools

Part of the book series: Studies in Computational Intelligence ((SCI,volume 431))

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Abstract

This article describes a method that use some context information terms in text clustering base on oral conversation corpus. And we used various distance measurement in the SOM algorithm experiment and the K-means algorithm experiment to test it. The experimental results showed us the context information terms take effect on text clustering, because of its high occurrence frequency. And we found that Hamming distance measurement is the best choice in SOM algorithm.

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Author information

Authors and Affiliations

  1. Lab. of Computational Linguistics, School of Humanities and Social Sciences, Tsinghua University, Beijing, 100084, China

    Ding Liu & Minghu Jiang

Authors
  1. Ding Liu
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  2. Minghu Jiang
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Corresponding author

Correspondence to Ding Liu .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, 02125-3393, USA

    Wei Ding

  2. , School of Software, Dalian University of Technology, Dalian, 116621, China, People's Republic

    He Jiang

  3. , Department of Computer Science, Texas State University San Marcos, University Drive 601, San Marcos, 78666-4616, USA

    Moonis Ali

  4. , School of Software, Dalian University of Technology, Dalian, 116621, China, People's Republic

    Mingchu Li

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© 2012 Springer-Verlag Berlin Heidelberg

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Liu, D., Jiang, M. (2012). Text Clustering on Oral Conversation Corpus. In: Ding, W., Jiang, H., Ali, M., Li, M. (eds) Modern Advances in Intelligent Systems and Tools. Studies in Computational Intelligence, vol 431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30732-4_22

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  • DOI: https://doi.org/10.1007/978-3-642-30732-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30731-7

  • Online ISBN: 978-3-642-30732-4

  • eBook Packages: EngineeringEngineering (R0)

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