Big Data in Computational Social Science and Humanities | 學術產出

題名	Big Data in Computational Social Science and Humanities
作者	陳樹衡 Chen, Shu-Heng
貢獻者	經濟系
日期	2018-10
上傳時間	18-一月-2019 09:59:39 (UTC+8)
摘要	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.
關聯	Springer International Publishing ISBN 978-3-319-95465-3
資料類型	book/chapter
DOI	http://dx.doi.org/10.1007/978-3-319-95465-3

dc.contributor	經濟系	zh_TW
dc.creator (作者)	陳樹衡	zh_TW
dc.creator (作者)	Chen, Shu-Heng	en_US
dc.date (日期)	2018-10
dc.date.accessioned	18-一月-2019 09:59:39 (UTC+8)	-
dc.date.available	18-一月-2019 09:59:39 (UTC+8)	-
dc.date.issued (上傳時間)	18-一月-2019 09:59:39 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/121950	-
dc.description.abstract (摘要)	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 (關聯)	Springer International Publishing
dc.relation (關聯)	ISBN 978-3-319-95465-3
dc.title (題名)	Big Data in Computational Social Science and Humanities	en_US
dc.type (資料類型)	book/chapter
dc.identifier.doi (DOI)	10.1007/978-3-319-95465-3
dc.doi.uri (DOI)	http://dx.doi.org/10.1007/978-3-319-95465-3