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

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@Article{Castelli:2017:ESA,
  author =       "Mauro Castelli and Luca Manzoni and 
                 Leonardo Vanneschi and Ales Popovic",
  title =        "An expert system for extracting knowledge from
                 customers' reviews: The case of Amazon.com, {Inc.}",
  journal =      "Expert Systems with Applications",
  volume =       "84",
  pages =        "117--126",
  year =         "2017",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2017.05.008",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0957417417303263",
  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.",
  keywords =     "genetic algorithms, genetic programming, Semantics,
                 E-commerce, Customers' feedback",
}

Genetic Programming entries for Mauro Castelli Luca Manzoni Leonardo Vanneschi Ales Popovic

Citations