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- Author: Robert Kohtes
- Publisher: Anchor Academic Publishing
- Year: 2013
- Pages: 82
- ISBN-10: 395489145X
- ISBN-13: 9783954891450
- Format: 14.8 x 21 x 0.5 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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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- Author: Robert Kohtes
- Publisher: Anchor Academic Publishing
- Year: 2013
- Pages: 82
- ISBN-10: 395489145X
- ISBN-13: 9783954891450
- Format: 14.8 x 21 x 0.5 cm, softcover
- Language: English 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.
Reviews