Products and services valuation through unsolicited information from social media

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...

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Bibliographic Details
Published inSoft computing (Berlin, Germany) Vol. 24; no. 3; pp. 1775 - 1788
Main Authors Peláez, J. I., Martínez, E. A., Vargas, L. G.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2020
Springer Nature B.V
Subjects
Artificial Intelligence
Business models
Computational Intelligence
Consumers
Control
Decisions
Engineering
Fuzzy logic
Fuzzy sets
Internet
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Reliability
Reputations
Robotics
Social networks
Valuation
ORS
Decision making
Preference relations
ORIs
Opinion mining
Majority operators
Interval data
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Summary: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.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-019-04005-3