- Išparduota
/https://libri-media.knygos-static.lt/a15721ed-be78-4809-9e08-0a7daed9dff4/1)
- Autorius: Robert Kohtes
- Leidėjas: Diplom.de
- Metai: 2014
- Puslapiai: 78
- ISBN: 9783954896455
- ISBN-10: 3954896451
- ISBN-13: 9783954896455
- Formatas: PDF
- Kalba: Anglų
From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
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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- Autorius: Robert Kohtes
- Leidėjas: Diplom.de
- Metai: 2014
- Puslapiai: 78
- ISBN: 9783954896455
- ISBN-10: 3954896451
- ISBN-13: 9783954896455
- Formatas: PDF
- Kalba: Anglų
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.
Atsiliepimai