Skip to main content
Log in

Products and services valuation through unsolicited information from social media

  • Methodologies and Application
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

Technological advances and the Internet have changed the way consumers approach the market for assets and services. Increasingly, consumers use the opinions of others to make their decisions. Web sites have assessment indexes (ORIs, ORS), where consumers value products/services using discrete-value scales, like stars or likes. But these ways of assessing are being questioned for several reasons such as the answers’ reliability, and the opinions representativeness and aggregation. Lack of reliability is since opinions are requested directly, which makes possible the paradox of the strategic aspect of decisions. Representativeness and aggregation problems are owing to an important loss of decisions information when using a single value, instead of using the interval that includes all feelings/opinions, as well as preferences cardinality in the aggregation that somehow reinforce those assessments. The aim of this work is to propose an index for products/services evaluation over the Internet. This index, called Quorum Valuation Opinion Reputation Index, takes unsolicited information from consumers, and through a semantic analysis and a majority aggregation process, builds a valuation interval. In addition, an opinion interval reliability index is proposed. The index has been tested with real data in the tourism field.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. A. Martínez.

Ethics declarations

Conflict of interest

The authors declare that there are no conflicts of interest and there are no experiments with humans or animals.

Additional information

Communicated by V. Loia.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peláez, J.I., Martínez, E.A. & Vargas, L.G. Products and services valuation through unsolicited information from social media. Soft Comput 24, 1775–1788 (2020). https://doi.org/10.1007/s00500-019-04005-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-019-04005-3

Keywords

Navigation