Coronavirus news, markets and AI the COVID-19 diaries
"Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink...
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Abingdon, Oxon ; New York, NY :
Routledge
2021.
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Edición: | 1st ed |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634693106719 |
Tabla de Contenidos:
- Intro
- Half Title
- Title Page
- Copyright Page
- Contents
- List of Figures
- List of Tables
- Acknowledgements
- Notes
- About the Book
- Notes
- Introduction
- 'Unstructured data' and the huge quantities of information
- 'Structured data' versus 'unstructured data'
- Significance of 'unstructured data'
- What is 'unstructured data' analysis and how are we doing it?
- The importance of 'multiple sources', 'local language news' and 'translation'
- Coronavirus pandemic: The key global event for 2020
- Overreaction and the coronavirus pandemic
- How do we calculate the coronavirus sentiment?
- Big data and AI (Artificial Intelligence) texts are the foundation for this book
- EMAlpha sentiment technology
- Crude oil price and its linkage with coronavirus sentiment
- News sentiment on the president of the United States, Donald Trump
- Why local news-based sentiment analysis matters
- How base rate changes everything
- High-Profile cases and the impact on coronavirus sentiment
- The country-by-country sentiment on the coronavirus
- COVID-19 has turned the world upside down
- What are the factors that influence the pandemic news?
- What do we see more in this coronavirus news?
- How do we use the inferences drawn from 'unstructured data'?
- Notes
- Part I: The Method
- 1. How to Read This Book?
- A few suggestions before you begin
- A sample of our machine-aided observations
- 2. Reading Coronavirus News
- Coronavirus: neither the first nor the last pandemic
- What is sentiment analysis?
- News sentiment versus real impact
- The media coverage on the coronavirus and the impact on financial markets
- The coronavirus pandemic crisis versus the global financial crisis of 2008
- This book is a diary of market analysts watching sentiment on the coronavirus
- How do we calculate the coronavirus sentiment?.
- Notes
- 3. Sentiment Analysis, Big Data and AI
- Big data and AI (artificial intelligence) texts are the foundation for this book
- The drivers of sentiment analysis
- 'Efficient market hypothesis' versus 'inefficiencies of markets'
- More information = more data, more data = more analytics
- How precise is big data inferences?
- The path from unstructured data to actionable insights
- Big data applications: they are everywhere
- No turning back
- 4. Unstructured Data: How to Tame the Beast?
- EMAlpha sentiment technology
- The major challenges
- What have we done?
- Machine sentiment combined with human expertise
- Part II: The Results
- 5. Ebbing in May: 'Are We Celebrating Too Early?'
- 29 May 2020: Oil news sentiment captures the firmness in crude prices
- 16 May 2020: Oil sentiment: conflicting signs from the IEA and aramco stock price
- 14 May 2020: Did world media underestimate the coronavirus crisis in Latin America?
- 14 May 2020: Is oil sentiment telling that the worst of the coronavirus is behind Us?
- 10 May 2020: Coronavirus threat: who can afford a lockdown and for how long?
- 1 May 2020: Beauty lies in the eyes of the beholder, so does risk!
- Notes
- 6. The Deadly April: 'Blame Game and Search for a Coronavirus Vaccine'
- 30 April 2020: Is the 'news sentiment impact' on markets back in business?
- 27 April 2020: Oil, again
- Coronavirus country-by-country sentiment time series
- Coronavirus aggregate global sentiment time series
- News sentiment for topical keywords
- Crude oil news sentiment
- Aggregate india equity market sentiment
- 22 April 2020: Oil's historic fall: Precipitated by quickly worsened sentiment?
- 21 April 2020: Crude and coronavirus: Oil futures in negative for the first time in history and its key implications.
- 20 April 2020: Markets and the coronavirus sentiment: The battle between optimism and pessimism
- The details and inferences from the coronavirus and news sentiment
- Coronavirus country-by-country sentiment time series
- Coronavirus aggregate global sentiment time series
- Daily coronavirus sentiment heat map for countries
- News topic sentiment for keywords
- Crude oil news sentiment
- Aggregate india equity markets sentiment
- 17 April 2020: News sentiment on donald trump does not matter for markets? no, it does not - not really?
- 15 April 2020: Is trump losing the perception battle in media and why does this matter for markets?
- 9 April 2020: Is the fed making data on fundamentals irrelevant for markets?
- 8 April 2020: Why does local news-based sentiment analysis matter?
- Does all this really matter for the markets?
- 6 April 2020: Coronavirus: Darkest before the dawn or no light at the end of the tunnel?
- Coronavirus country-by-country sentiment time series
- Daily coronavirus sentiment heat map for countries
- News topic sentiment for keywords
- Crude oil news sentiment
- Aggregate india equity markets sentiment
- Coronavirus numbers and statistics
- 1 April 2020: Coronavirus sentiment versus aggregate market sentiment and the base rate
- Why does base rate matter?
- Notes
- 7. Coronavirus Goes Global in March: 'Oops ... It Is Getting Serious'
- 30 March 2020: The dichotomy of a worse coronavirus situation and better markets
- Coronavirus Country Sentiment
- Global Coronavirus Sentiment
- News Topic Sentiment
- Oil Sentiment
- Coronavirus Sentiment Map
- Coronavirus Numbers and Statistics
- 25 March 2020: For global economy and EMs, better news sentiment on the United States helps
- 24 March 2020: Coronavirus news sentiment and Indian markets on 20 and 23 March.
- 23 March 2020: Coronavirus, news Sentiment and investor behaviour
- Coronavirus, Sentiment and Markets
- Phase 1: 10 January to 9 February
- Phase 2: 10 February to 2 March
- The Importance of Local News
- Phase 3: 3 March to Present
- 18 March 2020: Coronavirus sentiment: Deteriorating further and what did we learn in India?
- 15 March 2020: High-Profile cases and the impact on coronavirus sentiment
- 10 March 2020: EMAlpha news sentiment: The markets and coronavirus
- 7 March 2020: Coronavirus, human irrationality and Daniel Kahneman
- 4 March 2020: Coronavirus Sentiment Watch
- 2 March 2020: Coronavirus impact on markets: Is local sentiment more important?
- Notes
- 8. The Build-Up in February : 'Come on, Do Not Worry Too Much'
- 27 February 2020: Coronavirus and markets
- 9 February 2020: The coronavirus and how sentiment impacts the market
- Notes
- Part III: The Samples
- 9. Politics, Conspiracy Theories and Religion
- 10 March: Iranian claims dealing with the coronavirus outbreak fell to agencies at the last minute
- Machine-generated translation in english:
- 13 March: American National Security Advisor Accusing China of the pandemic
- Machine-generated translation in english:
- 13 March: China accusing the United States Military of the Coronavirus
- Machine-generated translation in english:
- 14 March: Did trump catch COVID-19 from Jair Bolsonaro
- Machine-generated translation in english:
- 15 March: 'Coronavirus holidays' and debate on measures adopted by politicians
- Machine-generated translation in english:
- 16 March: Muslims returning to Turkey from Pilgrimage in Saudi Arabia are taken into quarantine
- 16 March: Trump Administration Offered the German Pharmaceutical Company a 'Large Sum of Money' for exclusivity on vaccination against the coronavirus
- Machine-generated translation in english:.
- 19 March: New coronavirus infection is not produced in the laboratory
- Machine-generated translation in english:
- 20 March: Trump accuses China of failing to share information on the epidemic
- Machine-generated translation in english:
- 21 March: 700 cases linked to a mass religious gathering held at a mosque
- 22 March: Filipinos who attended a religious event in Malaysia linked to a Spike in COVID-19
- 25 March: Response of politicians to the coronavirus
- 26 March: Activists launch 'Digital Protest' to end United States Sanctions on Iran
- 27 March: Coronavirus - where it came from for humans
- Machine-generated translation in english:
- 28 March: The Verbal War between Iran and the United States
- 29 March: Brazil and coronavirus cases in Italy, Germany and Spain
- English translation:
- 4 April: A cluster of coronavirus cases can be traced back to a single mosque, and now 200 million muslims are being vilified
- 5 April: Canada's Health Minister's credulity plays right into China's hands
- 11 April: Churches in Singapore took good friday services online
- 16 April: Chinese foreign ministry spokesperson quotes WHO and said to support that there is no evidence that the coronavirus was released from a laboratory
- Machine-generated translation in english:
- 16 April: Trump said his government is trying to determine if the coronavirus came from a laboratory
- 18 April: France said no evidence so far of a link between the new coronavirus and the P4 research laboratory in Wuhan
- 19 April: Heavy criticism of the work of the undersecretary of health in Mexico
- Machine-generated translation in english:
- 20 April: Tension between France and China
- Machine-generated translation in english:
- 21 April: Political crisis in Brazil and president Jair Bolsonaro
- Machine-generated translation in english:.
- 23 April: Washington not letting up on its 'Maximum Pressure' against Iran.