03777cam a22005658i 4500 9781003138976 FlBoTFG 20260210180720.0 m d u cr ||||||||||| 200921s2021 enk ob 001 0 eng OCoLC-P eng rda OCoLC-P 9781003138976 (ebook) 1003138977 9781000327441 (electronic bk. : EPUB) 1000327442 (electronic bk. : EPUB) 9781000327403 (electronic bk. : PDF) 100032740X (electronic bk. : PDF) 9781000327427 (electronic bk. : Mobipocket) 1000327426 (electronic bk. : Mobipocket) 9780367634131 (hardback) 9780367687724 (paperback) (OCoLC)1198086158 (OCoLC-P)1198086158 HG4515.7 COM 004000 bisacsh SOC 052000 bisacsh BUS 027000 bisacsh UYQ bicssc 330.01/154 23 Sharma, Pankaj (Engineer), author. Coronavirus news, markets and AI : the COVID-19 diaries / Pankaj Sharma. Abingdon, Oxon ; New York, NY : Routledge, 2021. 1 online resource text txt rdacontent computer n rdamedia online resource nc rdacarrier "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"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Information theory in finance. COVID-19 (Disease) Economic aspects. Stock exchanges and current events. Big data. Artificial intelligence Economic aspects. COMPUTERS / Artificial Intelligence bisacsh SOCIAL SCIENCE / Media Studies bisacsh BUSINESS & ECONOMICS / Finance bisacsh Taylor & Francis https://www.taylorfrancis.com/books/9781003138976 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 89315 89314