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Standardised Reputation Measurement

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Intelligent Data Engineering and Automated Learning – IDEAL 2017 (IDEAL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10585))

Abstract

Well-defined formal definitions for sentiment and opinion are extended to incorporate the necessary elements to provide a formal quantitative definition of reputation. This definition takes the form of a time-based index, in which each element is a function of a collection of opinions mined during a given time period. The resulting formal definition is validated against informal notions of reputation. Practical aspects of data procurement to support such a reputation index are discussed. The assumption that all mined opinions comprise a complete set is questioned. A case is made that unexpressed positive sentiment exists, and can be quantified.

P. Mitic—The opinions, ideas and approaches expressed or presented are those of the author and do not necessarily reflect Santanders position. The values presented are just illustrations and do not represent Santander data.

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References

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Acknowledgments

I am grateful for the support of Alva-Group for their continued interest, support, and assistance in the preparation of this paper.

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Authors and Affiliations

  1. Santander UK, 2 Triton Square, Regents Place, London, NW1 3AN, UK

    Peter Mitic

  2. Department of Computer Science, UCL, Gower Street, London, WC1E 6BT, UK

    Peter Mitic

  3. Laboratoire d’Excellence sur la Régulation Financière (LabEx ReFi), Paris, France

    Peter Mitic

Authors
  1. Peter Mitic
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Corresponding author

Correspondence to Peter Mitic .

Editor information

Editors and Affiliations

  1. University of Manchester, Manchester, United Kingdom

    Hujun Yin

  2. School of Electronic and Electrical Engineering, Nanjing University, Nanjiing, China

    Yang Gao

  3. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Songcan Chen

  4. Guilin University of Electronic Technology, Guilin, China

    Yimin Wen

  5. Guilin University of Electronic Technology, Guilin, China

    Guoyong Cai

  6. Guilin University of Electronic Technology, Guilin, China

    Tianlong Gu

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  8. University of Seville, Seville, Spain

    Antonio J. Tallón-Ballesteros

  9. Southeast University, Nanjing, China

    Minling Zhang

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Mitic, P. (2017). Standardised Reputation Measurement. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2017. IDEAL 2017. Lecture Notes in Computer Science(), vol 10585. Springer, Cham. https://doi.org/10.1007/978-3-319-68935-7_58

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  • DOI: https://doi.org/10.1007/978-3-319-68935-7_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68934-0

  • Online ISBN: 978-3-319-68935-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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