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International Conference on Web Engineering

ICWE 2012: Web Engineering pp 169–176Cite as

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Social Event Detection on Twitter

Social Event Detection on Twitter

  • Elena Ilina19,
  • Claudia Hauff19,
  • Ilknur Celik20,
  • Fabian Abel19 &
  • …
  • Geert-Jan Houben19 
  • Conference paper
  • 2562 Accesses

  • 14 Citations

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7387)

Abstract

Various applications are developed today on top of microblogging services like Twitter. In order to engineer Web applications which operate on microblogging data, there is a need for appropriate filtering techniques to identify messages. In this paper, we focus on detecting Twitter messages (tweets) that report on social events. We introduce a filtering pipeline that exploits textual features and n-grams to classify messages into event related and non-event related tweets. We analyze the impact of preprocessing techniques, achieving accuracies higher than 80%. Further, we present a strategy to automate labeling of training data, since our proposed filtering pipeline requires training data. When testing on our dataset, this semi-automated method achieves an accuracy of 79% and results comparable to the manual labeling approach.

Keywords

  • microblogging
  • Twitter
  • event detection
  • classification
  • semi-automatic training

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References

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Author information

Authors and Affiliations

  1. Web Information Systems, Delft University of Technology, The Netherlands

    Elena Ilina, Claudia Hauff, Fabian Abel & Geert-Jan Houben

  2. Middle East Technical University, Northern Cyprus Campus, Turkey

    Ilknur Celik

Authors
  1. Elena Ilina
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  2. Claudia Hauff
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  3. Ilknur Celik
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  4. Fabian Abel
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  5. Geert-Jan Houben
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Ponzio 34/5, 20133, Milano, Italy

    Marco Brambilla

  2. Department of Computer Science, Tokyo Institute of Technology, 2-12-1 Oookayama, 152-8552, Tokyo, Japan

    Takehiro Tokuda

  3. Institut für Informatik, Freie Universität Berlin, Königin-Luise-Strasse 24-26, 14195, Berlin, Germany

    Robert Tolksdorf

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ilina, E., Hauff, C., Celik, I., Abel, F., Houben, GJ. (2012). Social Event Detection on Twitter. In: Brambilla, M., Tokuda, T., Tolksdorf, R. (eds) Web Engineering. ICWE 2012. Lecture Notes in Computer Science, vol 7387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31753-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-31753-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31752-1

  • Online ISBN: 978-3-642-31753-8

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