From Naive Expectation to Realistic Progress–Government Applications of Big Data on Public Opinions Mining

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/132324

DC Field	Value	Language
dc.contributor	公行系
dc.creator	蕭乃沂
dc.creator	Hsiao, Nai-Yi
dc.creator	Liao, Z.
dc.creator	Chen, D.
dc.date	2018-01
dc.date.accessioned	2020-10-29T01:17:07Z	-
dc.date.available	2020-10-29T01:17:07Z	-
dc.date.issued	2020-10-29T01:17:07Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/132324	-
dc.format.extent	378 bytes	-
dc.format.mimetype	text/html	-
dc.relation	Big Data in Computational Social Science and Humanities, Springer, pp.110-130
dc.title	From Naive Expectation to Realistic Progress–Government Applications of Big Data on Public Opinions Mining
dc.type	專書篇章
item.openairetype	專書篇章	-
item.cerifentitytype	Publications	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.fulltext	With Fulltext	-
item.grantfulltext	open	-
Appears in Collections:	專書/專書篇章

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