A framework for investigating illegal wildlife trade on social media with machine learning. Issue 1 (14th November 2018)

Record Type:: Journal Article
Title:: A framework for investigating illegal wildlife trade on social media with machine learning. Issue 1 (14th November 2018)
Main Title:: A framework for investigating illegal wildlife trade on social media with machine learning
Authors:: Di Minin, Enrico
Fink, Christoph
Hiippala, Tuomo
Tenkanen, Henrikki
Abstract:: Abstract: Article impact statement : Machine learning can be used to automatically monitor and assess illegal wildlife trade on social media platforms.
Is Part Of:: Conservation biology. Volume 33:Issue 1(2019)
Journal:: Conservation biology
Issue:: Volume 33:Issue 1(2019)
Issue Display:: Volume 33, Issue 1 (2019)
Year:: 2019
Volume:: 33
Issue:: 1
Issue Sort Value:: 2019-0033-0001-0000
Page Start:: 210
Page End:: 213
Publication Date:: 2018-11-14
Subjects:: Conservation biology -- Periodicals
333.9516
Journal URLs:: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1523-1739 ↗
http://onlinelibrary.wiley.com/ ↗
DOI:: 10.1111/cobi.13104 ↗
Languages:: English
ISSNs:: 0888-8892
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 3417.999000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:: 14193.xml