Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/86400| Título: | An expert system for extracting knowledge from customers’ reviews |
| Autor: | Castelli, Mauro Manzoni, Luca Vanneschi, Leonardo Popovič, Aleš |
| Palavras-chave: | Customers’ feedback E-commerce Genetic programming Semantics Engineering(all) Computer Science Applications Artificial Intelligence |
| Data: | 30-Out-2017 |
| Resumo: | 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% |
| Peer review: | yes |
| URI: | http://www.scopus.com/inward/record.url?scp=85019055201&partnerID=8YFLogxK http://hdl.handle.net/10362/86400 |
| DOI: | https://doi.org/10.1016/j.eswa.2017.05.008 |
| ISSN: | 0957-4174 |
| Aparece nas colecções: | NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals) |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| MCastelli_LManzoni_LVanneschi_APopovic.pdf | 740,81 kB | Adobe PDF | Ver/Abrir |
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