TY  - BOOK
AU  - Robert Kohtes
PY  - 2014
CY  - Hamburg, Germany
PB  - Anchor Academic Publishing
SN  - 9783954896455
TI  - From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes
UR  - https://m.anchor-publishing.com/document/287523
N2  - 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.
KW  - Data Mining, Sentiment Classification, Prediction Methods, User Generated Content, Online Sentiments
LA  - English
ER  -