QOE Analysis for Mobile Network Services using Twitter Opinion Extraction

Detalhes bibliográficos
Autor(a) principal: Santos, Marcelo
Data de Publicação: 2022
Outros Autores: Lopes, Renata
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/2205
Resumo: Mobile communication networks have been evolving over time to meet the expectations of consumers who are increasingly accustomed to the facilities offered by the services provided by such networks. Studies on QoE (quality of experience) are presented to analyze the satisfaction of a final consumer about a given product or service. Thus, this research sought new QoE indicators in an automated way for mobile communications operators that operate in Brazil. Thus, an application was created that sought to mine opinions emitted in tweets from the social network Twitter and score them according to the MOS (Mean Opinion Score). In its results it was possible to observe a tendency of the carriers' customers to use Twitter more to complain than to express opinions of satisfaction. The research observed a scarcity of research that uses a methodology analogous to the one employed, so it believes it can contribute to new research proposals that seek automation in the generation of QoE
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spelling QOE Analysis for Mobile Network Services using Twitter Opinion ExtractionMobile communication networks have been evolving over time to meet the expectations of consumers who are increasingly accustomed to the facilities offered by the services provided by such networks. Studies on QoE (quality of experience) are presented to analyze the satisfaction of a final consumer about a given product or service. Thus, this research sought new QoE indicators in an automated way for mobile communications operators that operate in Brazil. Thus, an application was created that sought to mine opinions emitted in tweets from the social network Twitter and score them according to the MOS (Mean Opinion Score). In its results it was possible to observe a tendency of the carriers' customers to use Twitter more to complain than to express opinions of satisfaction. The research observed a scarcity of research that uses a methodology analogous to the one employed, so it believes it can contribute to new research proposals that seek automation in the generation of QoEEditora da UFLA2022-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/2205INFOCOMP Journal of Computer Science; Vol. 21 No. 1 (2022): June 20221982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/2205/575Copyright (c) 2022 Marcelo Santos, Renata Lopesinfo:eu-repo/semantics/openAccessSantos, MarceloLopes, Renata2022-06-01T13:53:39Zoai:infocomp.dcc.ufla.br:article/2205Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:47.862018INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
title QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
spellingShingle QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
Santos, Marcelo
title_short QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
title_full QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
title_fullStr QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
title_full_unstemmed QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
title_sort QOE Analysis for Mobile Network Services using Twitter Opinion Extraction
author Santos, Marcelo
author_facet Santos, Marcelo
Lopes, Renata
author_role author
author2 Lopes, Renata
author2_role author
dc.contributor.author.fl_str_mv Santos, Marcelo
Lopes, Renata
description Mobile communication networks have been evolving over time to meet the expectations of consumers who are increasingly accustomed to the facilities offered by the services provided by such networks. Studies on QoE (quality of experience) are presented to analyze the satisfaction of a final consumer about a given product or service. Thus, this research sought new QoE indicators in an automated way for mobile communications operators that operate in Brazil. Thus, an application was created that sought to mine opinions emitted in tweets from the social network Twitter and score them according to the MOS (Mean Opinion Score). In its results it was possible to observe a tendency of the carriers' customers to use Twitter more to complain than to express opinions of satisfaction. The research observed a scarcity of research that uses a methodology analogous to the one employed, so it believes it can contribute to new research proposals that seek automation in the generation of QoE
publishDate 2022
dc.date.none.fl_str_mv 2022-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/2205
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/2205
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/2205/575
dc.rights.driver.fl_str_mv Copyright (c) 2022 Marcelo Santos, Renata Lopes
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Marcelo Santos, Renata Lopes
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 21 No. 1 (2022): June 2022
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
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institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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