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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
- Jazyk
- Rok vydania
- 2013
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- Titul
- From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes
- Jazyk
- anglicky
- Autori
- Robert Kohtes
- Vydavateľ
- Anchor Academic Publishing
- Rok vydania
- 2013
- Väzba
- mäkká
- Počet strán
- 80
- ISBN13
- 9783954891450
- Kategórie
- Podnikanie a ekonómia
- Anotácia
- 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.