气候变化领域集成服务门户(CCPortal): Frontiers in data analytics for adaptation research: Topic modeling

CCPortal

DOI	10.1002/wcc.576
	Frontiers in data analytics for adaptation research: Topic modeling
	Lesnikowski, Alexandra; Belfer, Ella; Rodman, Emma; Smith, Julie; Biesbroek, Robbert; Wilkerson, John D.; Ford, James D.; Berrang-Ford, Lea
发表日期	2019-05-01
ISSN	1757-7780
EISSN	1757-7799
卷号	10 期号:3
英文摘要	Rapid growth over the past two decades in digitized textual information represents untapped potential for methodological innovations in the adaptation governance literature that draw on machine learning approaches already being applied in other areas of c
关键词	climate change adaptation governance policy quantitative text analysis topic models
学科领域	Environmental Studies;Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000466382600007
来源期刊	WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/78651
作者单位	McGill Univ, Dept Geog, Montreal, PQ, Canada
推荐引用方式 GB/T 7714	Lesnikowski, Alexandra,Belfer, Ella,Rodman, Emma,et al. Frontiers in data analytics for adaptation research: Topic modeling[J],2019,10(3).
APA	Lesnikowski, Alexandra.,Belfer, Ella.,Rodman, Emma.,Smith, Julie.,Biesbroek, Robbert.,...&Berrang-Ford, Lea.(2019).Frontiers in data analytics for adaptation research: Topic modeling.WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE,10(3).
MLA	Lesnikowski, Alexandra,et al."Frontiers in data analytics for adaptation research: Topic modeling".WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE 10.3(2019).