Comparative study of opinion mining in a retailer network

Detalhes bibliográficos
Autor(a) principal: Hecksher, Andrea
Data de Publicação: 2017
Outros Autores: Ebecken, Nelson F. F.
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Sistemas & Gestão
Texto Completo: https://www.revistasg.uff.br/sg/article/view/1093
Resumo: This present article compare results acquired by an analysis performed based on Text Mining techniques of contents extracted from the fan page of a retailer store network, comparing with results found in field research done for the same retailer network. The research intends to corroborate to the idea that Text Mining techniques, in special, the Feelings Analysis, which present themselves everyday more as an effective and advantageous solutions for the understanding of opinions, studies of perception, and brand reputation. 
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spelling Comparative study of opinion mining in a retailer networkEstudo comparativo de mineração de opiniões em rede varejistaOpinion miningRetailer NetworkFeelings AnalysisClient SatisfactionMineração de opiniõesRede VarejistaAnálise de SentimentosSatisfação do ClienteThis present article compare results acquired by an analysis performed based on Text Mining techniques of contents extracted from the fan page of a retailer store network, comparing with results found in field research done for the same retailer network. The research intends to corroborate to the idea that Text Mining techniques, in special, the Feelings Analysis, which present themselves everyday more as an effective and advantageous solutions for the understanding of opinions, studies of perception, and brand reputation. O presente artigo compara os resultados obtidos por uma análise realizada a partir de técnicas de Mineração de Textos em conteúdos extraídos da Fan Page de uma rede de comércio varejista com os resultados obtidos por uma pesquisa de campo feita para a mesma rede varejista. Este trabalho pretende corroborar a ideia de que as técnicas de Mineração de Textos, em particular a Análise de Sentimentos, apresentam-se cada vez mais como soluções eficientes e vantajosas para conhecimento de opiniões e estudos de percepção e reputação de marcas. ABEC2017-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionComparação de dois métodos: pesquisa exploratória em rede social e pesquisa de campoapplication/pdfapplication/pdftext/htmltext/htmlhttps://www.revistasg.uff.br/sg/article/view/109310.20985/1980-5160.2016.v11n4.1093Sistemas & Gestão; v. 11 n. 4 (2016): Dezembro/2016; 423-4301980-516010.20985/1980-5160.2016.v11n4reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1093/527https://www.revistasg.uff.br/sg/article/view/1093/539https://www.revistasg.uff.br/sg/article/view/1093/557https://www.revistasg.uff.br/sg/article/view/1093/567Copyright (c) 2017 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessHecksher, AndreaEbecken, Nelson F. F.2020-05-29T17:31:23Zoai:ojs.www.revistasg.uff.br:article/1093Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2020-05-29T17:31:23Sistemas & Gestão - Universidade Federal Fluminense (UFF)false
dc.title.none.fl_str_mv Comparative study of opinion mining in a retailer network
Estudo comparativo de mineração de opiniões em rede varejista
title Comparative study of opinion mining in a retailer network
spellingShingle Comparative study of opinion mining in a retailer network
Hecksher, Andrea
Opinion mining
Retailer Network
Feelings Analysis
Client Satisfaction
Mineração de opiniões
Rede Varejista
Análise de Sentimentos
Satisfação do Cliente
title_short Comparative study of opinion mining in a retailer network
title_full Comparative study of opinion mining in a retailer network
title_fullStr Comparative study of opinion mining in a retailer network
title_full_unstemmed Comparative study of opinion mining in a retailer network
title_sort Comparative study of opinion mining in a retailer network
author Hecksher, Andrea
author_facet Hecksher, Andrea
Ebecken, Nelson F. F.
author_role author
author2 Ebecken, Nelson F. F.
author2_role author
dc.contributor.author.fl_str_mv Hecksher, Andrea
Ebecken, Nelson F. F.
dc.subject.por.fl_str_mv Opinion mining
Retailer Network
Feelings Analysis
Client Satisfaction
Mineração de opiniões
Rede Varejista
Análise de Sentimentos
Satisfação do Cliente
topic Opinion mining
Retailer Network
Feelings Analysis
Client Satisfaction
Mineração de opiniões
Rede Varejista
Análise de Sentimentos
Satisfação do Cliente
description This present article compare results acquired by an analysis performed based on Text Mining techniques of contents extracted from the fan page of a retailer store network, comparing with results found in field research done for the same retailer network. The research intends to corroborate to the idea that Text Mining techniques, in special, the Feelings Analysis, which present themselves everyday more as an effective and advantageous solutions for the understanding of opinions, studies of perception, and brand reputation. 
publishDate 2017
dc.date.none.fl_str_mv 2017-05-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Comparação de dois métodos: pesquisa exploratória em rede social e pesquisa de campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistasg.uff.br/sg/article/view/1093
10.20985/1980-5160.2016.v11n4.1093
url https://www.revistasg.uff.br/sg/article/view/1093
identifier_str_mv 10.20985/1980-5160.2016.v11n4.1093
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://www.revistasg.uff.br/sg/article/view/1093/527
https://www.revistasg.uff.br/sg/article/view/1093/539
https://www.revistasg.uff.br/sg/article/view/1093/557
https://www.revistasg.uff.br/sg/article/view/1093/567
dc.rights.driver.fl_str_mv Copyright (c) 2017 Sistemas & Gestão
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Sistemas & Gestão
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
text/html
text/html
dc.publisher.none.fl_str_mv ABEC
publisher.none.fl_str_mv ABEC
dc.source.none.fl_str_mv Sistemas & Gestão; v. 11 n. 4 (2016): Dezembro/2016; 423-430
1980-5160
10.20985/1980-5160.2016.v11n4
reponame:Sistemas & Gestão
instname:Universidade Federal Fluminense (UFF)
instacron:UFF
instname_str Universidade Federal Fluminense (UFF)
instacron_str UFF
institution UFF
reponame_str Sistemas & Gestão
collection Sistemas & Gestão
repository.name.fl_str_mv Sistemas & Gestão - Universidade Federal Fluminense (UFF)
repository.mail.fl_str_mv ||sg.revista@gmail.com|| periodicos@proppi.uff.br
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