From Valence to Emotions How Coarse Versus Fine-Grained Online Sentiment Can Predict Real-World Outcomes |
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| Author:
| Kohtes, Robert |
| ISBN: | 978-3-95489-145-0 |
| Publication Date: | Sep 2013 |
| Publisher: | Anchor Academic Publishing. ein Imprint der Diplomica Verlag GmbH
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| Book Format: | Paperback |
| List Price: | USD $64.99 |
Book Description:
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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...
More DescriptionThe 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.