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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语言 英语 ● 格式 PDF ● ISBN 9783954896455 ● 出版者 Anchor Academic Publishing ● 发布时间 2014 ● 下载 6 时 ● 货币 EUR ● ID 5791658 ● 复制保护 Adobe DRM
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