000 | 03777cam a22005658i 4500 | ||
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001 | 9781003138976 | ||
003 | FlBoTFG | ||
005 | 20220531132331.0 | ||
006 | m d u | ||
007 | cr ||||||||||| | ||
008 | 200921s2021 enk ob 001 0 eng | ||
040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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020 |
_a9781003138976 _q(ebook) |
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020 | _a1003138977 | ||
020 |
_a9781000327441 _q(electronic bk. : EPUB) |
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020 |
_a1000327442 _q(electronic bk. : EPUB) |
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020 |
_a9781000327403 _q(electronic bk. : PDF) |
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020 |
_a100032740X _q(electronic bk. : PDF) |
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020 |
_a9781000327427 _q(electronic bk. : Mobipocket) |
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020 |
_a1000327426 _q(electronic bk. : Mobipocket) |
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020 |
_z9780367634131 _q(hardback) |
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020 |
_z9780367687724 _q(paperback) |
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035 | _a(OCoLC)1198086158 | ||
035 | _a(OCoLC-P)1198086158 | ||
050 | 0 | 0 | _aHG4515.7 |
072 | 7 |
_aCOM _x004000 _2bisacsh |
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072 | 7 |
_aSOC _x052000 _2bisacsh |
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072 | 7 |
_aBUS _x027000 _2bisacsh |
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072 | 7 |
_aUYQ _2bicssc |
|
082 | 0 | 0 |
_a330.01/154 _223 |
100 | 1 |
_aSharma, Pankaj _c(Engineer), _eauthor. |
|
245 | 1 | 0 |
_aCoronavirus news, markets and AI : _bthe COVID-19 diaries / _cPankaj Sharma. |
264 | 1 |
_aAbingdon, Oxon ; _aNew York, NY : _bRoutledge, _c2021. |
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300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bn _2rdamedia |
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338 |
_aonline resource _bnc _2rdacarrier |
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520 |
_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"-- _cProvided by publisher. |
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588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 | _aInformation theory in finance. | |
650 | 0 |
_aCOVID-19 (Disease) _xEconomic aspects. |
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650 | 0 | _aStock exchanges and current events. | |
650 | 0 | _aBig data. | |
650 | 0 |
_aArtificial intelligence _xEconomic aspects. |
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650 | 7 |
_aCOMPUTERS / Artificial Intelligence _2bisacsh |
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650 | 7 |
_aSOCIAL SCIENCE / Media Studies _2bisacsh |
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650 | 7 |
_aBUSINESS & ECONOMICS / Finance _2bisacsh |
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856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003138976 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c70907 _d70907 |