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From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes /
The growing number of user-generated content that can be found online has led to a huge amount of data that can be used for scientific research. This book investigates the prediction of certain human-related events using valences and emotions expressed in user-generated content with regard to past a...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hamburg, Germany :
Anchor Academic Publishing,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | The growing number of user-generated content that can be found online has led to a huge amount of data that can be used for scientific research. This book investigates the prediction of certain human-related events using valences and emotions expressed in user-generated content with regard to past and current research. First, the theoretical framework of user-generated content and sentiment detection- and classification methods is explained, before empirical literature is categorized into three specific prediction subjects. This is followed by a comprehensive analysis including a comparison of. |
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| Descripción Física: | 1 online resource (79 pages) : illustrations, tables |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9783954896455 3954896451 |