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Title | Big Data in Computational Social Science and Humanities |
Creator | 陳樹衡 Chen, Shu-Heng |
Contributor | 經濟系 |
Date | 2018-10 |
Date Issued | 18-Jan-2019 09:59:39 (UTC+8) |
Summary | 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. |
Relation | Springer International Publishing ISBN 978-3-319-95465-3 |
Type | 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-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 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 |