語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
FindBook
Google Book
Amazon
博客來
Coronavirus news, markets and AI = the COVID-19 diaries /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Coronavirus news, markets and AI/ Pankaj Sharma.
其他題名:
the COVID-19 diaries /
作者:
Sharma, Pankaj
出版者:
Abingdon, Oxon ;Routledge, : 2021.,
面頁冊數:
1 online resource
標題:
Information theory in finance. -
電子資源:
https://www.taylorfrancis.com/books/9781003138976
ISBN:
9781003138976 (electronic bk.)
Coronavirus news, markets and AI = the COVID-19 diaries /
Sharma, Pankaj(Engineer).
Coronavirus news, markets and AI
the COVID-19 diaries /[electronic resource] :Pankaj Sharma. - Abingdon, Oxon ;Routledge,2021. - 1 online resource
"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"--
ISBN: 9781003138976 (electronic bk.)Subjects--Topical Terms:
715189
Information theory in finance.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: HG4515.7
Dewey Class. No.: 330.01/154
Coronavirus news, markets and AI = the COVID-19 diaries /
LDR
:02736cmm a2200325 a 4500
001
2339239
006
m d
007
cr nn muauu
008
240607s2021 enk ob 001 0 eng
020
$a
9781003138976 (electronic bk.)
020
$a
1003138977
020
$a
9781000327441 (electronic bk.)
020
$a
1000327442 (electronic bk.)
020
$a
9781000327403 (electronic bk.)
020
$a
100032740X (electronic bk.)
020
$a
9781000327427 (electronic bk.)
020
$a
1000327426 (electronic bk.)
020
$a
9780367634131
020
$a
9780367687724
035
$a
(OCoLC)1198086158
035
$a
(OCoLC-P)1198086158
035
$a
9781003138976
040
$a
OCoLC-P
$b
eng
$c
OCoLC-P
041
0
$a
eng
050
0 0
$a
HG4515.7
082
0 0
$a
330.01/154
$2
23
100
1
$a
Sharma, Pankaj
$c
(Engineer).
$3
3675920
245
1 0
$a
Coronavirus news, markets and AI
$h
[electronic resource] :
$b
the COVID-19 diaries /
$c
Pankaj Sharma.
260
$a
Abingdon, Oxon ;
$a
New York, NY :
$b
Routledge,
$c
2021.
300
$a
1 online resource
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"--
$c
Provided by publisher.
650
0
$a
Information theory in finance.
$3
715189
650
0
$a
COVID-19 (Disease)
$x
Economic aspects.
$3
3461232
650
0
$a
Stock exchanges and current events.
$3
2205443
650
0
$a
Big data.
$3
2045508
650
0
$a
Artificial intelligence
$x
Economic aspects.
$3
670058
655
4
$a
Electronic books.
$2
lcsh
$3
542853
856
4 0
$u
https://www.taylorfrancis.com/books/9781003138976
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9464230
電子資源
11.線上閱覽_V
電子書
EB HG4515.7
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入