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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-Hengen_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 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