Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media

Zogan, H Razzak, I Wang, X

Jameel, S Xu, G

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Field	Value	Language
dc.contributor.author	Zogan, H
dc.contributor.author	Razzak, I
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Jameel, S
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663
dc.date.accessioned	2022-01-27T21:22:02Z
dc.date.available	2022-01-27T21:22:02Z
dc.date.issued	2020-07-03
dc.identifier.citation	arXiv, 2020
dc.identifier.uri	http://hdl.handle.net/10453/153668
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media
dc.type	Preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2022-01-27T21:22:01Z

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