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From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes
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Focusing on the intersection of user-generated content and scientific research, this book explores how emotions and valences in online data can predict human-related events. It begins with a theoretical framework for sentiment detection and classification, then categorizes empirical literature into three prediction subjects. A thorough analysis compares various prediction methods, assessing their consistency and limitations, providing insights into the effectiveness of these approaches in understanding human behavior through digital expressions.
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From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes, Robert Kohtes
- Sprache
- Erscheinungsdatum
- 2013
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes
- Sprache
- Englisch
- Autor*innen
- Robert Kohtes
- Erscheinungsdatum
- 2013
- Einband
- Paperback
- Seitenzahl
- 80
- ISBN13
- 9783954891450
- Kategorie
- Wirtschaft
- Beschreibung
- Focusing on the intersection of user-generated content and scientific research, this book explores how emotions and valences in online data can predict human-related events. It begins with a theoretical framework for sentiment detection and classification, then categorizes empirical literature into three prediction subjects. A thorough analysis compares various prediction methods, assessing their consistency and limitations, providing insights into the effectiveness of these approaches in understanding human behavior through digital expressions.