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Supporting Experts to Handle Tweet Collections About Significant Events

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Natural Language Processing and Information Systems (NLDB 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10260))

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Abstract

We introduce Relevancer that processes a tweet set and enables generating an automatic classifier from it. Relevancer satisfies information needs of experts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, Relevancer facilitates the quick understanding of and proper reaction to events presented on Twitter.

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Notes

  1. 1.

    https://bitbucket.org/hurrial/relevancer.

  2. 2.

    The label definition affects the coherence judgment. Specificity of the labels determines the required level of the tweet similarity in a cluster.

References

  1. Hürriyetoǧlu, A., Gudehus, C., Oostdijk, N., Bosch, A.: Relevancer: finding and labeling relevant information in tweet collections. In: Spiro, E., Ahn, Y.-Y. (eds.) SocInfo 2016. LNCS, vol. 10047, pp. 210–224. Springer, Cham (2016). doi:10.1007/978-3-319-47874-6_15

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Acknowledgments

COMMIT, Statistics Netherlands, and Floodtags supported our work.

Author information

Authors and Affiliations

  1. Statistics Netherlands, P.O. Box 4481, 6401, CZ Heerlen, The Netherlands

    Ali Hürriyetoǧlu

  2. Centre for Language Studies, Radboud University, P.O. Box 9103, 6500 HD, Nijmegen, The Netherlands

    Nelleke Oostdijk, Mustafa Erkan Başar & Antal van den Bosch

  3. Meertens Institute, Amsterdam, The Netherlands

    Antal van den Bosch

Authors
  1. Ali Hürriyetoǧlu
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  2. Nelleke Oostdijk
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  3. Mustafa Erkan Başar
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  4. Antal van den Bosch
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Corresponding author

Correspondence to Ali Hürriyetoǧlu .

Editor information

Editors and Affiliations

  1. Erasmus University Rotterdam, Rotterdam, The Netherlands

    Flavius Frasincar

  2. University of Liège , Liège, Belgium

    Ashwin Ittoo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

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© 2017 Springer International Publishing AG

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Hürriyetoǧlu, A., Oostdijk, N., Erkan Başar, M., van den Bosch, A. (2017). Supporting Experts to Handle Tweet Collections About Significant Events. In: Frasincar, F., Ittoo, A., Nguyen, L., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2017. Lecture Notes in Computer Science(), vol 10260. Springer, Cham. https://doi.org/10.1007/978-3-319-59569-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-59569-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59568-9

  • Online ISBN: 978-3-319-59569-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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