{"product_id":"9783954891450","title":"From Valence to Emotions: How Coarse versus Fine-Grained Online Sentiment can predict Real-World Outcomes","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.","brand":"Anchor Academic Publishing","offers":[{"title":"Default Title","offer_id":47056856121584,"sku":"9783954891450","price":64.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9783954891450_p0.jpg?v=1763708012","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9783954891450","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}