A framework for investigating illegal wildlife trade on social media with machine learning

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Di Minin , E , Fink , C , Hiippala , T & Tenkanen , H 2019 , ' A framework for investigating illegal wildlife trade on social media with machine learning ' , Conservation Biology , vol. 33 , no. 1 , pp. 210-213 . https://doi.org/10.1111/cobi.13104

Titel: A framework for investigating illegal wildlife trade on social media with machine learning
Författare: Di Minin, Enrico; Fink, Christoph; Hiippala, Tuomo; Tenkanen, Henrikki
Upphovmannens organisation: Helsinki Institute of Sustainability Science (HELSUS)
Digital Geography Lab
Department of Geosciences and Geography
Helsinki Lab of Interdisciplinary Conservation Science
English Philology
Department of Languages
Datum: 2019-02
Språk: eng
Sidantal: 4
Tillhör serie: Conservation Biology
ISSN: 0888-8892
DOI: https://doi.org/10.1111/cobi.13104
Permanenta länken (URI): http://hdl.handle.net/10138/298334
Subject: 1172 Environmental sciences
Referentgranskad: Ja
Licens: cc_by_nc_nd
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion
Finansierad av: Valtion perusrahoitus/hankkeet
Helsinki Institute of Sustainability Science (HELSUS)
Finansierings ID:


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