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Signalling Events in Text Streams

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User Centric Media (UCMEDIA 2009)

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Abstract

With the rise of Web 2.0 vast amounts of textual data are generated every day. Micro-blogging streams and forum posts are ideally suited for signalling suspicious events. We are investigating the use of classification techniques for recognition of suspicious passages.

We present CBSSearch, an experimental environment for text-stream analysis. Our aim is to develop an end-to-end solution for creating models of events and their application within forensic analysis of text-streams.

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References

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Author information

Authors and Affiliations

  1. Institute for Computing and Information Sciences (ICIS), Radboud University, Nijmegen, P.O. Box 9010, 6500, GL, Nijmegen, The Netherlands

    Jelle J. P. C. Schühmacher & Cornelis H. A. Koster

Authors
  1. Jelle J. P. C. Schühmacher
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  2. Cornelis H. A. Koster
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Editor information

Editors and Affiliations

  1. Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Road, 57001, Thermi-Thessaloniki, Greece

    Petros Daras

  2. CREATE-NET, Via alla Cascata 56D, 38100, Trento, Italia

    Oscar Mayora Ibarra

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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Schühmacher, J.J.P.C., Koster, C.H.A. (2010). Signalling Events in Text Streams. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_42

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  • DOI: https://doi.org/10.1007/978-3-642-12630-7_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12629-1

  • Online ISBN: 978-3-642-12630-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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