Big Data in Computational Social Science and Humanities

Big Data in Computational Social Science and Humanities edited by Shu-Heng Chen.

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 an...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chen, Shu-Heng (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Computational Social Sciences,
Springer eBook Collection.
Subjects:
Data mining.
Behavioral economics.
Big data.
Natural language processing (Computer science).
Philosophy.
Political science.
Electronic resources (E-books)
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Call Number: E-Book
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