Coronavirus News, Markets and AI : The COVID-19 Diaries (Hardcover)

About this book. Introduction. Part I: The Method 1. How to Read this Book? 2. Reading Coronavirus News 3. Sentiment Analysis, Big Data and AI 4. Unstructured Data. How to tame the beast? Part II: The Results 5. Ebbing in May. ‘Are we celebrating too early?’ 6. The Deadly April. ‘Blame Game and Search for a Coronavirus Vaccine’ 7. Coronavirus goes Global in March. ‘Oops…It is getting serious’ 8. Build-up in February. ‘Come on, Don’t worry too much’ Part III: The Samples 9. Politics, Conspiracy Theories and Religion 10. Coronavirus Pandemic’s Economic Impact 11. Disease, Devastation and Hope 12. The Human Nature and Impact on Normal Life 13. Bizarre, Funny and Fake News Part IV: The Inference 14. Country Sentiment for Coronavirus News 15. COVID-19 has turned the world upside down 16. What is seen more often in Coronavirus News? 17. How do we use Sentiment Analysis. Case Study 18. Conclusion ?