Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations

Detalles Bibliográficos
Autores: Muñoz López, Sergio|||0000-0002-2070-8976, Iglesias Fernández, Carlos Ángel|||0000-0002-1755-2712
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:84726
Acceso en línea:https://oa.upm.es/84726/
Access Level:acceso abierto
Palabra clave:Affective computing
depression detection
depression framework
distributional representations
sentiment analysis
text classification
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spelling Detection of the severity level of depression signs in text combining a feature-based framework with distributional representationsMuñoz López, Sergio|||0000-0002-2070-8976Iglesias Fernández, Carlos Ángel|||0000-0002-1755-2712Affective computingdepression detectiondepression frameworkdistributional representationssentiment analysistext classification20232023-11-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/84726/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:847262026-06-21T12:45:07Z
dc.title.none.fl_str_mv Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
title Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
spellingShingle Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
Muñoz López, Sergio|||0000-0002-2070-8976
Affective computing
depression detection
depression framework
distributional representations
sentiment analysis
text classification
title_short Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
title_full Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
title_fullStr Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
title_full_unstemmed Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
title_sort Detection of the severity level of depression signs in text combining a feature-based framework with distributional representations
dc.creator.none.fl_str_mv Muñoz López, Sergio|||0000-0002-2070-8976
Iglesias Fernández, Carlos Ángel|||0000-0002-1755-2712
author Muñoz López, Sergio|||0000-0002-2070-8976
author_facet Muñoz López, Sergio|||0000-0002-2070-8976
Iglesias Fernández, Carlos Ángel|||0000-0002-1755-2712
author_role author
author2 Iglesias Fernández, Carlos Ángel|||0000-0002-1755-2712
author2_role author
dc.subject.none.fl_str_mv Affective computing
depression detection
depression framework
distributional representations
sentiment analysis
text classification
topic Affective computing
depression detection
depression framework
distributional representations
sentiment analysis
text classification
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-11-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/84726/
url https://oa.upm.es/84726/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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