%0 Book
%A Robert Kohtes
%D 2014
%C Hamburg, Germany
%I Anchor Academic Publishing
%@ 9783954896455
%T From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes
%U https://m.anchor-publishing.com/document/287523
%X 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.
%K Data Mining, Sentiment Classification, Prediction Methods, User Generated Content, Online Sentiments
%G English