Text classification to streamline online wildlife trade analyses.

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Bibliographic Details
Title:	Text classification to streamline online wildlife trade analyses.
Authors:	Stringham OC; Invasion Science & Wildlife Ecology Lab, University of Adelaide, Adelaide, SA, Australia.; School of Mathematical Sciences, University of Adelaide, Adelaide, SA, Australia., Moncayo S; Invasion Science & Wildlife Ecology Lab, University of Adelaide, Adelaide, SA, Australia., Hill KGW; Invasion Science & Wildlife Ecology Lab, University of Adelaide, Adelaide, SA, Australia., Toomes A; Invasion Science & Wildlife Ecology Lab, University of Adelaide, Adelaide, SA, Australia., Mitchell L; School of Mathematical Sciences, University of Adelaide, Adelaide, SA, Australia., Ross JV; School of Mathematical Sciences, University of Adelaide, Adelaide, SA, Australia., Cassey P; Invasion Science & Wildlife Ecology Lab, University of Adelaide, Adelaide, SA, Australia.
Source:	PloS one [PLoS One] 2021 Jul 09; Vol. 16 (7), pp. e0254007. Date of Electronic Publication: 2021 Jul 09 (Print Publication: 2021).
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0254007