dc.contributor.advisor	Justo Blanco, Raquel
dc.contributor.author	Varela Etxeberria, Ane
dc.contributor.other	F. CIENCIA Y TECNOLOGIA
dc.contributor.other	ZIENTZIA ETA TEKNOLOGIA F.
dc.date.accessioned	2024-05-10T14:55:03Z
dc.date.available	2024-05-10T14:55:03Z
dc.date.issued	2024-05-10
dc.identifier.uri	http://hdl.handle.net/10810/67836
dc.description.abstract	[EN] Use of machine learning algorithms, particularly BERT and HuBERT speech processing models, to detect mental illness and emotional parameters in the framework of the MENHIR project.	es_ES
dc.language.iso	eng	es_ES
dc.rights	info:eu-repo/semantics/openAccess
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/es/
dc.subject	mental health	es_ES
dc.subject	machine learning	es_ES
dc.subject	BERT	es_ES
dc.subject	HuBERT	es_ES
dc.title	Deep Learning Algorithms for Mental Illness Detection and Emotion Analysis	es_ES
dc.type	info:eu-repo/semantics/bachelorThesis
dc.date.updated	2023-06-22T11:26:35Z
dc.language.rfc3066	es
dc.rights.holder	Atribución (cc by)
dc.identifier.gaurregister	133623-924856-09
dc.identifier.gaurassign	142081-924856

Deep Learning Algorithms for Mental Illness Detection and Emotion Analysis