Using Natural Language Processing to Read Plans A Study of 78 Resilience Plans From the 100 Resilient Cities Network

Planners need to read plans to learn and adapt current practice. Planners may struggle to find time to read and study lengthy planning documents, especially in emerging areas such as climate change and urban resilience. Recently, natural language processing (NLP) has shown promise in processing big...

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Veröffentlicht in:	Journal of the American Planning Association Jg. 89; H. 1; S. 107 - 119
Hauptverfasser:	Fu, Xinyu, Li, Chaosu, Zhai, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Routledge 02.01.2023
Schlagworte:	machine learning natural language processing plan evaluation urban resilience
ISSN:	0194-4363, 1939-0130
Online-Zugang:	Volltext
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