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, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.

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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 & Databases. We have over one million books available in our catalogue for you to explore.

Table of contents

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