Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. The second edition includes new deep learning analysis methods.
Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. The second edition includes new deep learning analysis methods.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Bing Liu is a distinguished professor of Computer Science at the University of Illinois at Chicago. His current research interests include sentiment analysis, lifelong machine learning, natural language processing, and data mining. He has published extensively in top conferences and journals, and his research has been cited on the front page of the New York Times. Three of his research papers also received Test-of-Time awards. He is the recipient of ACM SIGKDD Innovation Award in 2018, and is a Fellow of the ACM, AAAI, and IEEE. He served as the Chair of ACM SIGKDD from 2013-2017.
Inhaltsangabe
1. Introduction 2. The Problem of Sentiment Analysis 3. Document Sentiment Classification 4. Sentence Subjectivity and Sentiment Classification 5. Aspect Sentiment Classification 6. Aspect and Entity Extraction 7. Sentiment Lexicon Generation 8. Analysis of Comparative Opinions 9. Opinion Summarization and Search 10. Analysis of Debates and Comments 11. Mining Intents 12. Detecting Fake or Deceptive Opinions 13. Quality of Reviews 14. Conclusions.