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From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes
| From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes |
| Autore | Kohtes Robert |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (79 p.) |
| Disciplina | 658.15 |
| Soggetto topico |
Corporations - Finance
Financial statements - Germany |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-95489-645-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910464056103321 |
Kohtes Robert
|
||
| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes
| From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes |
| Autore | Kohtes Robert |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (79 p.) |
| Disciplina | 658.15 |
| Soggetto topico |
Corporations - Finance
Financial statements - Germany |
| ISBN | 3-95489-645-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910787704003321 |
|
Kohtes Robert
|
||
| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes
| From valence to emotions : how coarse versus fine-grained online sentiment can predict real-world outcomes / / Robert Kohtes |
| Autore | Kohtes Robert |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (79 p.) |
| Disciplina | 658.15 |
| Soggetto topico |
Corporations - Finance
Financial statements - Germany |
| ISBN | 3-95489-645-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910826741303321 |
|
Kohtes Robert
|
||
| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||