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FACTUS: Faceted Twitter User Search Using Twitter Lists

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Web Information System Engineering – WISE 2011 (WISE 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6997))

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Abstract

In this demonstration, we present FACTUS, a tag-based Twitter user search system using Twitter lists. FACTUS provides a faceted search over Twitter users. To this end, the system first extracts tags, such as “music” and “sports,” from Twitter lists, and assigns the tags to Twitter users. Then, facets are computed based on the tags, thereby enabling us to browse Twitter users using facets.

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References

  1. Twitter, http://twitter.com

  2. Twitter Search, http://search.twitter.com/

  3. Yamaguchi, Y., Amagasa, T., Kitagawa, H.: Tag-based User Topic Discovery using Twitter Lists. In: Memon, N., Alhajj, R., Ting, I.H. (eds.) ASONAM. IEEE Computer Society, Los Alamitos (to appear, 2011)

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Author information

Authors and Affiliations

  1. Graduate School of System and Information Engineering, University of Tsukuba, Japan

    Takahiro Komamizu, Yuto Yamaguchi, Toshiyuki Amagasa & Hiroyuki Kitagawa

  2. Center of Computational Science, University of Tsukuba, Japan

    Toshiyuki Amagasa & Hiroyuki Kitagawa

Authors
  1. Takahiro Komamizu
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  2. Yuto Yamaguchi
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  3. Toshiyuki Amagasa
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  4. Hiroyuki Kitagawa
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Editor information

Editors and Affiliations

  1. Information Engineering Laborarory, CSIRO ICT Centre, Australia

    Athman Bouguettaya

  2. Digital Enterprise Research Institute (DERI), National University of Ireland, IDA Business Park, Lower Dangan,, Galway, Ireland

    Manfred Hauswirth

  3. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    Ling Liu

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© 2011 Springer-Verlag Berlin Heidelberg

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Komamizu, T., Yamaguchi, Y., Amagasa, T., Kitagawa, H. (2011). FACTUS: Faceted Twitter User Search Using Twitter Lists. In: Bouguettaya, A., Hauswirth, M., Liu, L. (eds) Web Information System Engineering – WISE 2011. WISE 2011. Lecture Notes in Computer Science, vol 6997. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24434-6_35

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  • DOI: https://doi.org/10.1007/978-3-642-24434-6_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24433-9

  • Online ISBN: 978-3-642-24434-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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