An expert system for extracting knowledge from customers’ reviews

Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo; Popovič, Aleš

http://hdl.handle.net/10362/86400

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Resumo(s)

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.

Descrição

Castelli, M., Manzoni, L., Vanneschi, L., & Popovič, A. (2017). An expert system for extracting knowledge from customers’ reviews: The case of Amazon.com, Inc. Expert Systems with Applications, 84(October), 117-126. https://doi.org/10.1016/j.eswa.2017.05.008 ---%ABS3%

Palavras-chave

Customers’ feedback E-commerce Genetic programming Semantics General Engineering Computer Science Applications Artificial Intelligence

URI

http://www.scopus.com/inward/record.url?scp=85019055201&partnerID=8YFLogxK
http://hdl.handle.net/10362/86400

DOI

10.1016/j.eswa.2017.05.008

Coleções

NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)

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