Sentiment Analysis
eBook - PDF

Sentiment Analysis

Mining Opinions, Sentiments, and Emotions

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Sentiment Analysis

Mining Opinions, Sentiments, and Emotions

About this book

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.

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Yes, you can access Sentiment Analysis by Bing Liu in PDF and/or ePUB format, as well as other popular books in Computer Science & Natural Language Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Series information
  4. Title page
  5. Copyright information
  6. Contents
  7. Preface
  8. Acknowledgments
  9. 1 Introduction
  10. 2 The Problem of Sentiment Analysis
  11. 3 Document Sentiment Classification
  12. 4 Sentence Subjectivity and Sentiment Classification
  13. 5 Aspect Sentiment Classification
  14. 6 Aspect and Entity Extraction
  15. 7 Sentiment Lexicon Generation
  16. 8 Analysis of Comparative Opinions
  17. 9 Opinion Summarization and Search
  18. 10 Analysis of Debates and Comments
  19. 11 Mining Intent
  20. 12 Detecting Fake or Deceptive Opinions
  21. 13 Quality of Reviews
  22. 14 Conclusion
  23. Appendix
  24. Bibliography
  25. Index