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From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes

From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes

Paperback

Business General

ISBN10: 395489145X
ISBN13: 9783954891450
Publisher: Anchor Academic Publishing
Published: Jan 14 2015
Pages: 82
Weight: 0.26
Height: 0.20 Width: 5.83 Depth: 8.27
Language: English
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 prediction methods, consistency, and limitations with respect to each of the three predictive sources.

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