Coronavirus news, markets and AI: the COVID-19 diaries
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
London ; New York
Routledge, Taylor & Francis Group
2021
|
| Schlagwörter: | |
| Abstract: | "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 of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities." |
| Beschreibung: | Enthält Literaturangaben und Index |
| Umfang: | xx, 213 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367634131 0367634139 9780367687724 0367687720 |
Internformat
MARC
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| 245 | 1 | 0 | |a Coronavirus news, markets and AI |b the COVID-19 diaries |c Pankaj Sharma |
| 264 | 1 | |a London ; New York |b Routledge, Taylor & Francis Group |c 2021 | |
| 300 | |a xx, 213 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Enthält Literaturangaben und Index | ||
| 520 | 3 | |a "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 of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities." | |
| 650 | 0 | 7 | |a COVID-19 |0 (DE-588)1206347392 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wirtschaftsentwicklung |0 (DE-588)4066438-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Pandemie |0 (DE-588)4737034-8 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Information theory in finance | |
| 653 | 0 | |a COVID-19 (Disease) / Economic aspects | |
| 653 | 0 | |a Stock exchanges and current events | |
| 653 | 0 | |a Big data | |
| 653 | 0 | |a Artificial intelligence / Economic aspects | |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-00-032744-1 |
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Datensatz im Suchindex
| _version_ | 1818987594480877568 |
|---|---|
| any_adam_object | |
| author | Sharma, Pankaj |
| author_GND | (DE-588)1171846630 |
| author_facet | Sharma, Pankaj |
| author_role | aut |
| author_sort | Sharma, Pankaj |
| author_variant | p s ps |
| building | Verbundindex |
| bvnumber | BV047080706 |
| classification_rvk | QM 000 ST 300 |
| ctrlnum | (OCoLC)1226356288 (DE-599)KXP1737235161 |
| dewey-full | 330.01/154 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.01/154 |
| dewey-search | 330.01/154 |
| dewey-sort | 3330.01 3154 |
| dewey-tens | 330 - Economics |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV047080706 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:09:10Z |
| institution | BVB |
| isbn | 9780367634131 0367634139 9780367687724 0367687720 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032487530 |
| oclc_num | 1226356288 |
| open_access_boolean | |
| owner | DE-706 DE-188 DE-N2 |
| owner_facet | DE-706 DE-188 DE-N2 |
| physical | xx, 213 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Routledge, Taylor & Francis Group |
| record_format | marc |
| spelling | Sharma, Pankaj Verfasser (DE-588)1171846630 aut Coronavirus news, markets and AI the COVID-19 diaries Pankaj Sharma London ; New York Routledge, Taylor & Francis Group 2021 xx, 213 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Enthält Literaturangaben und Index "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 of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities." COVID-19 (DE-588)1206347392 gnd rswk-swf Wirtschaftsentwicklung (DE-588)4066438-7 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Pandemie (DE-588)4737034-8 gnd rswk-swf Information theory in finance COVID-19 (Disease) / Economic aspects Stock exchanges and current events Big data Artificial intelligence / Economic aspects Wirtschaftsentwicklung (DE-588)4066438-7 s COVID-19 (DE-588)1206347392 s Pandemie (DE-588)4737034-8 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Erscheint auch als Online-Ausgabe 978-1-003-13897-6 Erscheint auch als Online-Ausgabe 978-1-00-032740-3 Erscheint auch als Online-Ausgabe 978-1-00-032744-1 |
| spellingShingle | Sharma, Pankaj Coronavirus news, markets and AI the COVID-19 diaries COVID-19 (DE-588)1206347392 gnd Wirtschaftsentwicklung (DE-588)4066438-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Pandemie (DE-588)4737034-8 gnd |
| subject_GND | (DE-588)1206347392 (DE-588)4066438-7 (DE-588)4033447-8 (DE-588)4737034-8 |
| title | Coronavirus news, markets and AI the COVID-19 diaries |
| title_auth | Coronavirus news, markets and AI the COVID-19 diaries |
| title_exact_search | Coronavirus news, markets and AI the COVID-19 diaries |
| title_full | Coronavirus news, markets and AI the COVID-19 diaries Pankaj Sharma |
| title_fullStr | Coronavirus news, markets and AI the COVID-19 diaries Pankaj Sharma |
| title_full_unstemmed | Coronavirus news, markets and AI the COVID-19 diaries Pankaj Sharma |
| title_short | Coronavirus news, markets and AI |
| title_sort | coronavirus news markets and ai the covid 19 diaries |
| title_sub | the COVID-19 diaries |
| topic | COVID-19 (DE-588)1206347392 gnd Wirtschaftsentwicklung (DE-588)4066438-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Pandemie (DE-588)4737034-8 gnd |
| topic_facet | COVID-19 Wirtschaftsentwicklung Künstliche Intelligenz Pandemie |
| work_keys_str_mv | AT sharmapankaj coronavirusnewsmarketsandaithecovid19diaries |