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