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Autore: | Kohtes Robert |
Titolo: | From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes |
Pubblicazione: | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
©2014 | |
Descrizione fisica: | 1 online resource (79 p.) |
Disciplina: | 658.15 |
Soggetto topico: | Corporations - Finance |
Financial statements - Germany | |
Note generali: | Description based upon print version of record. |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | From Valence to Emotions; Abstract; Table of Contents; List of Abbreviations; List of Figures; List of Tables; 1 Introduction; 2 Structure of Book; 3 The Need of Automated Prediction Using Online Sentiments; 4 What are the Different Prediction and Sentiment Detection Approaches and Techniques based on User-Generated-Content?; 4.1 User Generated Content and its Technical Background; 4.2 Online Word-of-Mouth; 4.3 Sentiment Classification; 5 How Consistent are Prediction Results Based on Online Sentiments?; 5.1 Predictive Power of Online Sentiments; 5.1.1 Stock Markets; 5.1.2 Sales Volume |
5.1.3 Box Office Revenues6 Do Fine-Grained Sentiments Generate New Insights and Better Prediction Results Than Coarse Sentiments?; 7 Conclusion; 8 Managerial Implications; Bibliography | |
Sommario/riassunto: | 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 |
Titolo autorizzato: | From valence to emotions |
ISBN: | 3-95489-645-1 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910787704003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |