
eBook - ePub
Computational Intelligence Applications for Text and Sentiment Data Analysis
- 350 pages
- English
- ePUB (mobile friendly)
- 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.
Information
Table of contents
- Cover
- Front Matter
- Table of Contents
- Copyright
- Contents
- List of contributors
- About the editors
- Preface
- List of Illustrations
- List of Tables
- Chapter 1 : Sentiment analysis and computational intelligence
- Chapter 2 : Natural language processing and sentiment analysis: perspectives from computational intelligence
- Chapter 3 : Applications and challenges of SA in real-life scenarios
- Chapter 4 : Emotions of students from online and offline texts
- Chapter 5 : Online social-network sensing models
- Chapter 6 : Learning sentiment analysis with word embeddings
- Chapter 7 : An annotation system of a medical corpus using sentiment-based models for summarization applications
- Chapter 8 : A comparative study of a novel approach with baseline attributes leading to sentiment analysis of Covid-19 tweets
- Chapter 9 : Sentiment-aware design of humanâcomputer interactions: How research in humanâcomputer interaction and sentiment analysis can lead to more user-centered systems?
- 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
- Chapter 11 : Conclusion
- Index
- A