Text mining and ruin theory: a case study of research on risk models with dependence

Detalhes bibliográficos
Autor(a) principal: Alcoforado, Renata G.
Data de Publicação: 2020
Outros Autores: Reis, Alfredo D. Egídio dos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/24450
Resumo: This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory. In our study, the subject to be analyzed is composed by 27 published papers of the risk and ruin theory topic, area of actuarial science. They were coded into 32 categories. For the purpose, all data was analyzed and figures were produced using the software NVivo 11 plus. Software NVivo is a specialized tool in analyzing unstructured data, although it is commonly used just for qualitative research. We used it for Quali-Quant analysis
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spelling Text mining and ruin theory: a case study of research on risk models with dependenceBig DataUnstructured DataText MiningRisk TheoryDependence ModelingThis paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory. In our study, the subject to be analyzed is composed by 27 published papers of the risk and ruin theory topic, area of actuarial science. They were coded into 32 categories. For the purpose, all data was analyzed and figures were produced using the software NVivo 11 plus. Software NVivo is a specialized tool in analyzing unstructured data, although it is commonly used just for qualitative research. We used it for Quali-Quant analysisINERepositório da Universidade de LisboaAlcoforado, Renata G.Reis, Alfredo D. Egídio dos2022-06-01T11:00:14Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/24450engAlcoforado, Renata G. and Alfredo D. Egidio Dos Reis. (2020). "Text mining and ruin theory: a case study of research on risk models with dependence." REVSTAT-Statistical Journal 18.(4): pp.483-499.info: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:RCAAP2023-03-06T14:54:06Zoai:www.repository.utl.pt:10400.5/24450Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:08:29.646577Repositório 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 Text mining and ruin theory: a case study of research on risk models with dependence
title Text mining and ruin theory: a case study of research on risk models with dependence
spellingShingle Text mining and ruin theory: a case study of research on risk models with dependence
Alcoforado, Renata G.
Big Data
Unstructured Data
Text Mining
Risk Theory
Dependence Modeling
title_short Text mining and ruin theory: a case study of research on risk models with dependence
title_full Text mining and ruin theory: a case study of research on risk models with dependence
title_fullStr Text mining and ruin theory: a case study of research on risk models with dependence
title_full_unstemmed Text mining and ruin theory: a case study of research on risk models with dependence
title_sort Text mining and ruin theory: a case study of research on risk models with dependence
author Alcoforado, Renata G.
author_facet Alcoforado, Renata G.
Reis, Alfredo D. Egídio dos
author_role author
author2 Reis, Alfredo D. Egídio dos
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Alcoforado, Renata G.
Reis, Alfredo D. Egídio dos
dc.subject.por.fl_str_mv Big Data
Unstructured Data
Text Mining
Risk Theory
Dependence Modeling
topic Big Data
Unstructured Data
Text Mining
Risk Theory
Dependence Modeling
description This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory. In our study, the subject to be analyzed is composed by 27 published papers of the risk and ruin theory topic, area of actuarial science. They were coded into 32 categories. For the purpose, all data was analyzed and figures were produced using the software NVivo 11 plus. Software NVivo is a specialized tool in analyzing unstructured data, although it is commonly used just for qualitative research. We used it for Quali-Quant analysis
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2022-06-01T11:00:14Z
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/10400.5/24450
url http://hdl.handle.net/10400.5/24450
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Alcoforado, Renata G. and Alfredo D. Egidio Dos Reis. (2020). "Text mining and ruin theory: a case study of research on risk models with dependence." REVSTAT-Statistical Journal 18.(4): pp.483-499.
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 INE
publisher.none.fl_str_mv INE
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
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instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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