Computational Intelligence Applications for Text and Sentiment Data Analysis
eBook - ePub

Computational Intelligence Applications for Text and Sentiment Data Analysis

  1. 350 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligence Applications for Text and Sentiment Data Analysis

About this book

Approx.330 pagesApprox.330 pages

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Yes, you can access Computational Intelligence Applications for Text and Sentiment Data Analysis by Dipankar Das,Anup Kumar Kolya,Abhishek Basu,Soham Sarkar in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Contents
  6. List of contributors
  7. About the editors
  8. Preface
  9. List of Illustrations
  10. List of Tables
  11. Chapter 1 : Sentiment analysis and computational intelligence
  12. Chapter 2 : Natural language processing and sentiment analysis: perspectives from computational intelligence
  13. Chapter 3 : Applications and challenges of SA in real-life scenarios
  14. Chapter 4 : Emotions of students from online and offline texts
  15. Chapter 5 : Online social-network sensing models
  16. Chapter 6 : Learning sentiment analysis with word embeddings
  17. Chapter 7 : An annotation system of a medical corpus using sentiment-based models for summarization applications
  18. Chapter 8 : A comparative study of a novel approach with baseline attributes leading to sentiment analysis of Covid-19 tweets
  19. Chapter 9 : Sentiment-aware design of human–computer interactions: How research in human–computer interaction and sentiment analysis can lead to more user-centered systems?
  20. Chapter 10 : Towards the analyzing of social-media data to assess the impact of long lockdowns on human psychology due to the Covid-19 pandemic
  21. Chapter 11 : Conclusion
  22. Index
  23. A