Frontiers in data analytics for adaptation research: Topic modeling

Lesnikowski, A, Belfer, E, Rodman, E et al. (5 more authors) (2019) Frontiers in data analytics for adaptation research: Topic modeling. Wiley Interdisciplinary Reviews: Climate Change, 10 (3). e576. ISSN 1757-7780

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Copyright, Publisher and Additional Information: © 2019 Wiley Periodicals, Inc. This is the peer reviewed version of the following article: Lesnikowski, A, Belfer, E, Rodman, E et al. (5 more authors) (2019) Frontiers in data analytics for adaptation research: Topic modeling. Wiley Interdisciplinary Reviews: Climate Change, 10 (3). e576. ISSN 1757-7780, which has been published in final form at https://doi.org/10.1002/wcc.576. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Keywords: climate change adaptation; governance; policy; quantitative text analysis; topic models
Dates:
  • Published: 5 April 2019
  • Accepted: 1 January 2019
  • Published (online): 27 February 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Jan 2021 14:42
Last Modified: 11 Jan 2021 14:42
Status: Published
Publisher: Wiley
Identification Number: https://doi.org/10.1002/wcc.576

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