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TitleBig Data in Computational Social Science and Humanities
Creator陳樹衡
Chen, Shu-Heng
Contributor經濟系
Date2018-10
Date Issued18-Jan-2019 09:59:39 (UTC+8)
SummaryThis 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.
RelationSpringer International Publishing
ISBN 978-3-319-95465-3
Typebook/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-Hengen_US
dc.date (日期) 2018-10
dc.date.accessioned 18-Jan-2019 09:59:39 (UTC+8)-
dc.date.available 18-Jan-2019 09:59:39 (UTC+8)-
dc.date.issued (上傳時間) 18-Jan-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 Humanitiesen_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