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

Title: A framework for investigating illegal wildlife trade on social media with machine learning
Author: Di Minin, Enrico; Fink, Christoph; Hiippala, Tuomo; Tenkanen, Henrikki
Contributor organization: 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
Date: 2019-02
Language: eng
Number of pages: 4
Belongs to series: Conservation Biology
ISSN: 0888-8892
DOI: https://doi.org/10.1111/cobi.13104
URI: http://hdl.handle.net/10138/298334
Subject: 1172 Environmental sciences
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: publishedVersion
Funder: Valtion perusrahoitus/hankkeet
Helsinki Institute of Sustainability Science (HELSUS)
Grant number:


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