FACTUS: Faceted Twitter User Search Using Twitter Lists

  • Takahiro Komamizu
  • Yuto Yamaguchi
  • Toshiyuki Amagasa
  • Hiroyuki Kitagawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6997)

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.

Keywords

Twitter Twitter User Search Twitter Lists Faceted Search 

References

  1. 1.
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  3. 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)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Takahiro Komamizu
    • 1
  • Yuto Yamaguchi
    • 1
  • Toshiyuki Amagasa
    • 1
    • 2
  • Hiroyuki Kitagawa
    • 1
    • 2
  1. 1.Graduate School of System and Information EngineeringUniversity of TsukubaJapan
  2. 2.Center of Computational ScienceUniversity of TsukubaJapan

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