Monitoring system for potential users with depression using sentiment analysis

Detalhes bibliográficos
Autor(a) principal: Rosa, Renata L.
Data de Publicação: 2016
Outros Autores: Rodriguez, Demostenes Z., Schwartz, Gisele M. [UNESP], De Campos Ribeiro, Ivana [UNESP], Bressan, Graca
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ICCE.2016.7430656
http://hdl.handle.net/11449/234395
Resumo: This paper presents a monitoring solution for users with potential psychological disturbs, specifically stress. The phrases extracted from Social Networks are filtered by mood and scored using a sentiment-analysis-metric that considers personal characteristics, such as gender and age. The solution informs, to authorized persons, the emotional changes of the users.
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spelling Monitoring system for potential users with depression using sentiment analysisThis paper presents a monitoring solution for users with potential psychological disturbs, specifically stress. The phrases extracted from Social Networks are filtered by mood and scored using a sentiment-analysis-metric that considers personal characteristics, such as gender and age. The solution informs, to authorized persons, the emotional changes of the users.Department of Computer Science and Digital Systems University of São PauloUniversity Estadual Paulista Júlio de Mesquita Filho Biosciences Institute of Rio ClaroUniversity Estadual Paulista Júlio de Mesquita Filho Biosciences Institute of Rio ClaroUniversidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Rosa, Renata L.Rodriguez, Demostenes Z.Schwartz, Gisele M. [UNESP]De Campos Ribeiro, Ivana [UNESP]Bressan, Graca2022-05-02T13:59:33Z2022-05-02T13:59:33Z2016-03-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject381-382http://dx.doi.org/10.1109/ICCE.2016.74306562016 IEEE International Conference on Consumer Electronics, ICCE 2016, p. 381-382.http://hdl.handle.net/11449/23439510.1109/ICCE.2016.74306562-s2.0-84965147042Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2016 IEEE International Conference on Consumer Electronics, ICCE 2016info:eu-repo/semantics/openAccess2022-05-02T13:59:33Zoai:repositorio.unesp.br:11449/234395Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-05-02T13:59:33Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Monitoring system for potential users with depression using sentiment analysis
title Monitoring system for potential users with depression using sentiment analysis
spellingShingle Monitoring system for potential users with depression using sentiment analysis
Rosa, Renata L.
title_short Monitoring system for potential users with depression using sentiment analysis
title_full Monitoring system for potential users with depression using sentiment analysis
title_fullStr Monitoring system for potential users with depression using sentiment analysis
title_full_unstemmed Monitoring system for potential users with depression using sentiment analysis
title_sort Monitoring system for potential users with depression using sentiment analysis
author Rosa, Renata L.
author_facet Rosa, Renata L.
Rodriguez, Demostenes Z.
Schwartz, Gisele M. [UNESP]
De Campos Ribeiro, Ivana [UNESP]
Bressan, Graca
author_role author
author2 Rodriguez, Demostenes Z.
Schwartz, Gisele M. [UNESP]
De Campos Ribeiro, Ivana [UNESP]
Bressan, Graca
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Rosa, Renata L.
Rodriguez, Demostenes Z.
Schwartz, Gisele M. [UNESP]
De Campos Ribeiro, Ivana [UNESP]
Bressan, Graca
description This paper presents a monitoring solution for users with potential psychological disturbs, specifically stress. The phrases extracted from Social Networks are filtered by mood and scored using a sentiment-analysis-metric that considers personal characteristics, such as gender and age. The solution informs, to authorized persons, the emotional changes of the users.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-10
2022-05-02T13:59:33Z
2022-05-02T13:59:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ICCE.2016.7430656
2016 IEEE International Conference on Consumer Electronics, ICCE 2016, p. 381-382.
http://hdl.handle.net/11449/234395
10.1109/ICCE.2016.7430656
2-s2.0-84965147042
url http://dx.doi.org/10.1109/ICCE.2016.7430656
http://hdl.handle.net/11449/234395
identifier_str_mv 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, p. 381-382.
10.1109/ICCE.2016.7430656
2-s2.0-84965147042
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 381-382
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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