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An expert system for extracting knowledge from customers’ reviews: The case of Amazon.com, Inc

Castelli Mauro
•
Manzoni Luca
•
Vanneschi Leonardo
•
Popovic Ales
2017
  • journal article

Periodico
EXPERT SYSTEMS WITH APPLICATIONS
Abstract
E-commerce has proliferated in the daily activities of end-consumers and firms alike. For firms, consumer satisfaction is an important indicator of e-commerce success. Today, consumers’ reviews and feedback are increasingly shaping consumer intentions regarding new purchases and repeated purchases, while helping to attract new customers. In our work, we use an expert system to predict the sentiment of a product considering a subset of available customers’ reviews.
DOI
10.1016/j.eswa.2017.05.008
WOS
WOS:000403731900010
Archivio
http://hdl.handle.net/11368/2947800
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85019055201
https://www.sciencedirect.com/science/article/pii/S0957417417303263
Diritti
open access
license:copyright editore
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2947800
Soggetti
  • Customers’ feedback

  • E-commerce

  • Genetic programming

  • Semantics

Web of Science© citazioni
16
Data di acquisizione
Mar 24, 2024
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