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SIAM: Social Interaction Analysis for Multimedia

  • Conference paper
Advances in Information Retrieval (ECIR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

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Abstract

This paper describes the SIAM demonstrator, a system that illustrates the usefulness of indexing multimedia segments thanks to associated microblog posts. From a socialized multimedia content (i.e. video and associated microblog posts on Twitter), the system applies text mining techniques and derives a topic model to index socialized multimedia segments. That result may then be used inside many multimedia applications, such as in-media social navigation, multimedia summarization or composition, or exploration of multimedia collections according to various socially-based viewpoints.

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References

  1. Blei, D., Ng, A., Jordan, M.: Latent Dirichlet Allocation. The Journal of Machine Learning Research (2003)

    Google Scholar 

  2. Crain, S.P., Zhou, K., Yang, S.-H., Zha, H.: Dimensionality Reduction and Topic Modelling. In: Aggarwal, Zhai (eds.) Mining Text Data, Springer (2012)

    Google Scholar 

  3. Fleischman, M.B., Roy, D.K. (BlueFin Lab), Displaying Estimated Social Interest in Time-based Media, US Patent 20110041080 (2011)

    Google Scholar 

  4. Hsu, C.-F., Caverlee, J., Khabiri, E.: Hierarchical comments-based clustering. In: ACM Symposium on Applied Computing (SAC) (2011)

    Google Scholar 

  5. Liu, B., Zhang, L.: A Survey of Opinion Mining and Sentiment Analysis. In: Aggarwal, Zhai (eds.) Mining Text Data. Springer (2012)

    Google Scholar 

  6. Toutanova, K., Klein, D., Manning, C., Singer, Y.: Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In: Proceedings of HLT-NAACL (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Bell Labs, Alcatel-Lucent, France

    Jérôme Picault & Myriam Ribière

Authors
  1. Jérôme Picault
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  2. Myriam Ribière
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Editor information

Editors and Affiliations

  1. Yandex, Leo Tolstoy, 16, 119021, Moscow, Russia

    Pavel Serdyukov  & Ilya Segalovich  & 

  2. Kontur Labs and Ural Federal University, Fonvizina 3-27, 620078, Yekaterinburg, Russia

    Pavel Braslavski

  3. National Research University Higher School of Economics (HSE), Pokrovskii bd 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  4. University of Amsterdam, Turfdraagsterpad 9, 1012 XT, Amsterdam, The Netherlands

    Jaap Kamps

  5. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  6. Mathematics & Computer Science Department, Emory University, 400 dowman Drive, 30329, Atlanta, GA, USA

    Eugene Agichtein

  7. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Emine Yilmaz

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© 2013 Springer-Verlag Berlin Heidelberg

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Picault, J., Ribière, M. (2013). SIAM: Social Interaction Analysis for Multimedia. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_98

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  • DOI: https://doi.org/10.1007/978-3-642-36973-5_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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