Using social media, machine learning and natural language processing to map multiple recreational beneficiaries

Gosal, AS, Geijzendorffer, IR, Václavík, T et al. (2 more authors) (2019) Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosystem Services, 38. 100958. ISSN 2212-0416

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Copyright, Publisher and Additional Information: © 2019 Elsevier B.V. All rights reserved. This is an author produced version of a paper published in Ecosystem Services. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Cultural Ecosystem Services; Machine learning; Self-organising maps; Social media; Recreation; Beneficiaries
Dates:
  • Published: August 2019
  • Accepted: 17 June 2019
  • Published (online): 9 July 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Jun 2019 14:37
Last Modified: 09 Jul 2020 00:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.ecoser.2019.100958

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