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A Multilevel Text Processing Model of Newsgroup Dynamics

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Natural Language Processing and Information Systems (NLDB 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2553))

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Abstract

We present a multilevel model of discussions in USENET newsgroups that includes the use of statistical and linguistic methods to obtain lexical, semantic and discourse characteristics of the text. We expose constraints that make information extraction and summarization more amenable to analysis at different levels. Our model makes use of posting structure, times of posting, time spans, and length and depth of a thread in order to extract higher-level information on subject matter, interest level, topicality, and discussion trends.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The College of New Jersey, 08628, Ewing, NJ

    G. Sampathsampath@tcnj.edu & Miroslav Martinovic

Authors
  1. G. Sampathsampath@tcnj.edu
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  2. Miroslav Martinovic
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Editor information

Editors and Affiliations

  1. Department of Computer and Systems Sciences, Royal Institute of Technology, Forum 100, 16440, Kista, Sweden

    Birger Andersson , Maria Bergholtz  & Paul Johannesson ,  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Sampathsampath@tcnj.edu, G., Martinovic, M. (2002). A Multilevel Text Processing Model of Newsgroup Dynamics. In: Andersson, B., Bergholtz, M., Johannesson, P. (eds) Natural Language Processing and Information Systems. NLDB 2002. Lecture Notes in Computer Science, vol 2553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36271-1_19

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  • DOI: https://doi.org/10.1007/3-540-36271-1_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00307-6

  • Online ISBN: 978-3-540-36271-5

  • eBook Packages: Springer Book Archive

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