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Big Data in Computational Social Science and Humanities (Hardcover, 1st ed. 2018) Loot Price: R5,010
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Big Data in Computational Social Science and Humanities (Hardcover, 1st ed. 2018): Shu-Heng Chen

Big Data in Computational Social Science and Humanities (Hardcover, 1st ed. 2018)

Shu-Heng Chen

Series: Computational Social Sciences

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Loot Price R5,010 Discovery Miles 50 100 | Repayment Terms: R470 pm x 12*

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This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Computational Social Sciences
Release date: November 2018
First published: 2018
Editors: Shu-Heng Chen
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 388
Edition: 1st ed. 2018
ISBN-13: 978-3-319-95464-6
Categories: Books > Business & Economics > Economics > General
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN: 3-319-95464-4
Barcode: 9783319954646

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