Data mining approaches for big data and sentiment analysis in social media
"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends
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| Weitere Verfasser: | , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2021
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| Online-Zugang: | BSB01 FAN01 FHD01 FHI01 FHR01 FNU01 TUBA1 TUM01 UBY01 URL des Erstveröffentlichers |
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| Zusammenfassung: | "This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends |
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| Beschreibung: | Includes bibliographical references and index Chapter 1. Approaches and applications for sentiment analysis: a literature review -- Chapter 2. A survey on building recommendation systems using data mining techniques -- Chapter 3. A survey on sentiment analysis techniques for Twitter -- Chapter 4. Role of social media in the COVID-19 pandemic: a literature review -- Chapter 5. Data mining approaches for sentiment analysis in online social networks (OSNs) -- Chapter 6. Sentiment analysis and summarization of Facebook posts on news media -- Chapter 7. An improved cross-domain sentiment analysis based on a semi-supervised convolutional neural network -- Chapter 8. Detection of economy-related Turkish tweets based on machine learning approaches -- Chapter 9. The stakes of social media: analyzing user sentiments -- Chapter 10. Predicting catastrophic events using machine learning models for natural language processing -- Chapter 11. Clubhouse experience: sentiment analysis of an alternative platform from the eyes of classic social media users. - Mode of access: World Wide Web |
| Beschreibung: | 1 Online-Ressource (XVIII, 313 Seiten) |
| ISBN: | 9781799884156 |
| DOI: | 10.4018/978-1-7998-8413-2 |