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Toward a Big Data Platform to Get Public Opinion from French Content on the Web/CMS

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Europe and MENA Cooperation Advances in Information and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 520))

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Abstract

Public Opinion is a very important criterion of making political decision. However, obtaining it is a difficult task. So far the only efficient way is using surveys, on the net or by asking people directly. In this work we introduce the implementation of a new platform based on Big Data approach and named POK—abbreviation of Public Opinion Knowledge, which is a solution to get the public opinion from French content published on the Web/CMS, and also presented as an alternative of surveys.

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References

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Author information

Authors and Affiliations

  1. Team SIQL, Laboratory LSEII, ENSAO, Mohammed First University, BP 60000, Oujda, Morocco

    Abdelkader Rhouati, El Hassane Ettifouri, Mohammed Ghaouth Belkasmi & Toumi Bouchentouf

Authors
  1. Abdelkader Rhouati
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  2. El Hassane Ettifouri
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  3. Mohammed Ghaouth Belkasmi
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  4. Toumi Bouchentouf
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Corresponding author

Correspondence to Abdelkader Rhouati .

Editor information

Editors and Affiliations

  1. Fac de Ciências e Tech Dept de Enge Info, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Présidence de l'Université Mohammed Prem, University Mohammed First Oujda, Oujda, Morocco

    Mohammed Serrhini

  3. (CIETI) & (ISEP), School of Engg Polytechnic of Porto, Porto, Portugal

    Carlos Felgueiras

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Rhouati, A., Ettifouri, E.H., Belkasmi, M.G., Bouchentouf, T. (2017). Toward a Big Data Platform to Get Public Opinion from French Content on the Web/CMS. In: Rocha, Á., Serrhini, M., Felgueiras, C. (eds) Europe and MENA Cooperation Advances in Information and Communication Technologies. Advances in Intelligent Systems and Computing, vol 520. Springer, Cham. https://doi.org/10.1007/978-3-319-46568-5_35

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  • DOI: https://doi.org/10.1007/978-3-319-46568-5_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46567-8

  • Online ISBN: 978-3-319-46568-5

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