Big Data in Computational Social Science and Humanities

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/121950

DC Field	Value	Language
dc.contributor	經濟系	zh_TW
dc.creator	陳樹衡	zh_TW
dc.creator	Chen, Shu-Heng	en_US
dc.date	2018-10
dc.date.accessioned	2019-01-18T01:59:39Z	-
dc.date.available	2019-01-18T01:59:39Z	-
dc.date.issued	2019-01-18T01:59:39Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/121950	-
dc.description.abstract	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.	en_US
dc.format.extent	110 bytes	-
dc.format.mimetype	text/html	-
dc.relation	Springer International Publishing
dc.relation	ISBN 978-3-319-95465-3
dc.title	Big Data in Computational Social Science and Humanities	en_US
dc.type	book/chapter
dc.identifier.doi	10.1007/978-3-319-95465-3
dc.doi.uri	http://dx.doi.org/10.1007/978-3-319-95465-3
item.grantfulltext	open	-
item.openairetype	book/chapter	-
item.fulltext	With Fulltext	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.cerifentitytype	Publications	-
Appears in Collections:	專書/專書篇章

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