000 03777cam a22005658i 4500
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
020 _a9781003138976
_q(ebook)
020 _a1003138977
020 _a9781000327441
_q(electronic bk. : EPUB)
020 _a1000327442
_q(electronic bk. : EPUB)
020 _a9781000327403
_q(electronic bk. : PDF)
020 _a100032740X
_q(electronic bk. : PDF)
020 _a9781000327427
_q(electronic bk. : Mobipocket)
020 _a1000327426
_q(electronic bk. : Mobipocket)
020 _z9780367634131
_q(hardback)
020 _z9780367687724
_q(paperback)
035 _a(OCoLC)1198086158
035 _a(OCoLC-P)1198086158
050 0 0 _aHG4515.7
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aSOC
_x052000
_2bisacsh
072 7 _aBUS
_x027000
_2bisacsh
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.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bn
_2rdamedia
338 _aonline resource
_bnc
_2rdacarrier
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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aInformation theory in finance.
650 0 _aCOVID-19 (Disease)
_xEconomic aspects.
650 0 _aStock exchanges and current events.
650 0 _aBig data.
650 0 _aArtificial intelligence
_xEconomic aspects.
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 7 _aSOCIAL SCIENCE / Media Studies
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Finance
_2bisacsh
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