Format:
1 Online-Ressource (XVIII, 313 Seiten)
ISBN:
9781799884156
Content:
"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
Note:
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
Additional Edition:
Erscheint auch als Druck-Ausgabe, hbk ISBN 978-1-79988-413-2
Additional Edition:
Erscheint auch als Druck-Ausgabe, pbk ISBN 978-1-79988-414-9
Language:
English
Keywords:
Social Media
;
Data Mining
;
Big Data
;
Stimmungsbild
DOI:
10.4018/978-1-7998-8413-2
URL:
Volltext
(URL des Erstveröffentlichers)
