Machine learning for tracking illegal wildlife trade on social media
Nat Ecol Evol
.
2018 Mar;2(3):406-407.
doi: 10.1038/s41559-018-0466-x.
Authors
Enrico Di Minin
1
2
,
Christoph Fink
3
,
Henrikki Tenkanen
3
,
Tuomo Hiippala
3
4
Affiliations
1
Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FI-00014, Finland. enrico.di.minin@helsinki.fi.
2
School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa. enrico.di.minin@helsinki.fi.
3
Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FI-00014, Finland.
4
Department of Languages, University of Helsinki, Helsinki, FI-00014, Finland.
PMID:
29335570
DOI:
10.1038/s41559-018-0466-x
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
Animals
Animals, Wild*
Conservation of Natural Resources / methods*
Machine Learning*
Social Media*