Enriching User Reviews Through An Opinion Extraction System
Web sites based on User-Generated Content (UGC) have a potentially valuable applicability in a number of elds. In this work we carry out a study of the usefulness of these systems from the point of view of detecting the perception expressed by users about services or items. We have compiled and anal...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/99640 |
| Acceso en línea: | https://hdl.handle.net/11441/99640 |
| Access Level: | acceso abierto |
| Palabra clave: | Opinion mining Minería de opiniones User-generated content Contenidos generados por usuarios |
| Sumario: | Web sites based on User-Generated Content (UGC) have a potentially valuable applicability in a number of elds. In this work we carry out a study of the usefulness of these systems from the point of view of detecting the perception expressed by users about services or items. We have compiled and analyzed opin- ions shared by users on TripAdvisor focusing on two aspects: the structured and the unstructured data. We perform a quantitative and a qualitative analysis of the information extracted by an opinion extraction system from our dataset, being the last one especially interesting since it provides valuable knowledge about the strong and weak points of hotels according to user perceptions, going beyond the struc- tured data. Finally, we provide a study on the complementarity of the knowledge extracted from both, the textual opinions and the structured data, observing a no- ticeable increment of the amount of information available with the conjunction of both sources. |
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