| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000384078 |
| ISSN: | 1665-6423 |
| Autores: | Ullah, R1 Zeb, A1 Kim, W1 |
| Instituciones: | 1Korea Advanced Institute of Science and Technology, Graduate School of Culture Technology, Yuseong-gu, Daejeon. Corea del Sur |
| Año: | 2015 |
| Periodo: | Jun |
| Volumen: | 13 |
| Número: | 3 |
| Paginación: | 359-383 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Online customer reviews have become a significant source of product-related information for consumers. As a result of the growing number of customer reviews, determining which customer reviews are the most helpful is important in reducing information overload. The ways in which reviews can be helpful need to be identified. In this study, we examine the impact of emotional content in online customer reviews on the number of votes those customer reviews receive that indicate they were helpful. We find that content that is more emotional yields more votes. Furthermore, our findings suggest that reviews with positive emotional content have a positive effect on review helpfulness whereas reviews with negative emotional content have no effect on review helpfulness. This study contributes to an understanding of emotional content in word of mouth and has important implications for online retailers and consumers |
| Disciplinas: | Bibliotecología y ciencia de la información, Ciencias de la computación |
| Palabras clave: | Información y sociedad, Tecnología de la información, Procesamiento de lenguaje natural, Consumidores, Revisiones en línea, Emociones, Análisis de la información |
| Keyword: | Library and information science, Computer science, Information analysis, Information and society, Information technology, Natural language processing, Consumers, Online reviews, Emotions |
| Texto completo: | Texto completo (Ver HTML) |
