A text mining and topic modelling perspective of ethnic marketing research

Detalhes bibliográficos
Autor(a) principal: Moro, Sérgio
Data de Publicação: 2019
Outros Autores: Pires, Guilherme, Rita, Paulo, Cortez, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/62752
Resumo: This study presents an enhanced automated approach based on literature analysis and synthesis for establishing the dimensions of the ethnic marketing literature, covering a set of 239 journal articles published by nine major publishers. The approach reported is enhanced by two novel procedures to address previously identified limitations, namely: definition of a relevant dictionary based on both a sufficient lexicon extracted from a definition of the core theme and a conditional dictionary, with related but non-core terms; and a visually appealing pictorial representation to summarize the discovered topics. The application of the method to ethnic marketing indicates that ethnic marketing research is characterized by high conceptual heterogeneity, although a clear definition of "ethnic marketing" is imperative for research development. Overall, the paper advances an approach with considerable scalability advantages when compared with extant approaches, an important issue to consider when textual sources become big data.
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spelling A text mining and topic modelling perspective of ethnic marketing researchEthnic marketingLiterature analysis and synthesisLiterature dimensionsFiltering dictionariesText miningTopic modellingSocial SciencesThis study presents an enhanced automated approach based on literature analysis and synthesis for establishing the dimensions of the ethnic marketing literature, covering a set of 239 journal articles published by nine major publishers. The approach reported is enhanced by two novel procedures to address previously identified limitations, namely: definition of a relevant dictionary based on both a sufficient lexicon extracted from a definition of the core theme and a conditional dictionary, with related but non-core terms; and a visually appealing pictorial representation to summarize the discovered topics. The application of the method to ethnic marketing indicates that ethnic marketing research is characterized by high conceptual heterogeneity, although a clear definition of "ethnic marketing" is imperative for research development. Overall, the paper advances an approach with considerable scalability advantages when compared with extant approaches, an important issue to consider when textual sources become big data.- (undefined)ElsevierUniversidade do MinhoMoro, SérgioPires, GuilhermeRita, PauloCortez, Paulo20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/62752eng0148-296310.1016/j.jbusres.2019.01.053https://www.sciencedirect.com/science/article/pii/S0148296319300724info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:48:55Zoai:repositorium.sdum.uminho.pt:1822/62752Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:47:16.560671Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A text mining and topic modelling perspective of ethnic marketing research
title A text mining and topic modelling perspective of ethnic marketing research
spellingShingle A text mining and topic modelling perspective of ethnic marketing research
Moro, Sérgio
Ethnic marketing
Literature analysis and synthesis
Literature dimensions
Filtering dictionaries
Text mining
Topic modelling
Social Sciences
title_short A text mining and topic modelling perspective of ethnic marketing research
title_full A text mining and topic modelling perspective of ethnic marketing research
title_fullStr A text mining and topic modelling perspective of ethnic marketing research
title_full_unstemmed A text mining and topic modelling perspective of ethnic marketing research
title_sort A text mining and topic modelling perspective of ethnic marketing research
author Moro, Sérgio
author_facet Moro, Sérgio
Pires, Guilherme
Rita, Paulo
Cortez, Paulo
author_role author
author2 Pires, Guilherme
Rita, Paulo
Cortez, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Moro, Sérgio
Pires, Guilherme
Rita, Paulo
Cortez, Paulo
dc.subject.por.fl_str_mv Ethnic marketing
Literature analysis and synthesis
Literature dimensions
Filtering dictionaries
Text mining
Topic modelling
Social Sciences
topic Ethnic marketing
Literature analysis and synthesis
Literature dimensions
Filtering dictionaries
Text mining
Topic modelling
Social Sciences
description This study presents an enhanced automated approach based on literature analysis and synthesis for establishing the dimensions of the ethnic marketing literature, covering a set of 239 journal articles published by nine major publishers. The approach reported is enhanced by two novel procedures to address previously identified limitations, namely: definition of a relevant dictionary based on both a sufficient lexicon extracted from a definition of the core theme and a conditional dictionary, with related but non-core terms; and a visually appealing pictorial representation to summarize the discovered topics. The application of the method to ethnic marketing indicates that ethnic marketing research is characterized by high conceptual heterogeneity, although a clear definition of "ethnic marketing" is imperative for research development. Overall, the paper advances an approach with considerable scalability advantages when compared with extant approaches, an important issue to consider when textual sources become big data.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/62752
url http://hdl.handle.net/1822/62752
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0148-2963
10.1016/j.jbusres.2019.01.053
https://www.sciencedirect.com/science/article/pii/S0148296319300724
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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