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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 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.
| Autorius: | Robert Kohtes |
| Leidėjas: | Anchor Academic Publishing |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 80 |
| ISBN-10: | 395489145X |
| ISBN-13: | 9783954891450 |
| Formatas: | 220 x 155 x 6 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes“
