Forecasting electoral results for the Parliament of the Portuguese Republic

Detalhes bibliográficos
Autor(a) principal: Azevedo, Diamantino
Data de Publicação: 2018
Outros Autores: Correia, Luís, Gaspar, Graça
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.34627/rcc.v7i0.90
Resumo: In earlier work, Data Mining techniques using a large number of public available socioeconomic variables about Portugal were used to predict election results between 1974 and 2009 (thirteen elections) for the Parliament of the Portuguese Republic. However, the political spectrum considered in that work does not cover 100% of the votes cast, but only the four parties with regular parliamentary seat since 1975, whose voting reaches about 84%. In the approach previously adopted, each of the four traditional parties was treated separately resulting in independent forecasts. In this paper we analyse the extension of that work to the forecasting of the remaining interval of the election results and its use to ensure the restriction that the total percentage of votes cast adds up to 100%. The results showed that the methods previously applied allow making predictions with similar quality for the remaining partisan forces.
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spelling Forecasting electoral results for the Parliament of the Portuguese RepublicPrevisão Eleitoral para a Assembleia da República PortuguesaIn earlier work, Data Mining techniques using a large number of public available socioeconomic variables about Portugal were used to predict election results between 1974 and 2009 (thirteen elections) for the Parliament of the Portuguese Republic. However, the political spectrum considered in that work does not cover 100% of the votes cast, but only the four parties with regular parliamentary seat since 1975, whose voting reaches about 84%. In the approach previously adopted, each of the four traditional parties was treated separately resulting in independent forecasts. In this paper we analyse the extension of that work to the forecasting of the remaining interval of the election results and its use to ensure the restriction that the total percentage of votes cast adds up to 100%. The results showed that the methods previously applied allow making predictions with similar quality for the remaining partisan forces.Em trabalho anterior utilizaram-se técnicas de Data Mining para predizer resultados eleitorais, sem utilizar sondagens, recorrendo a variáveis socioeconómicas, disponíveis publicamente sobre Portugal, no período abrangido pelas treze eleições para a Assembleia da República, entre 1974 e 2009. No entanto, o espectro político considerado nesse trabalho não abrange os 100% dos votos expressos, mas apenas os quatro partidos com assento parlamentar regular desde 1975 cuja votação atinge cerca de 84%. Na abordagem anteriormente adoptada, cada um dos quatro partidos tradicionais foi tratado separadamente, resultando em previsões independentes. Neste artigo analisa-se a extensão desse trabalho à previsão do intervalo restante dos resultados eleitorais e a sua utilização para garantir a restrição de que a percentagem total de votos expressos soma 100%. Os resultados mostraram que os métodos anteriormente aplicados permitem obter previsões com resultados de qualidade similar para o conjunto das forças partidárias complementares.Universidade Aberta2018-04-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.34627/rcc.v7i0.90oai:ojs2.journals.uab.pt:article/90Revista de Ciências da Computação; v. 7 (2012)2182-18011646-633010.34627/rcc.v7i0reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://journals.uab.pt/index.php/rcc/article/view/90https://doi.org/10.34627/rcc.v7i0.90https://journals.uab.pt/index.php/rcc/article/view/90/54Direitos de Autor (c) 2013 Universidade Abertahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo, DiamantinoCorreia, LuísGaspar, Graça2022-10-25T11:31:54Zoai:ojs2.journals.uab.pt:article/90Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:14:00.226549Repositório 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 Forecasting electoral results for the Parliament of the Portuguese Republic
Previsão Eleitoral para a Assembleia da República Portuguesa
title Forecasting electoral results for the Parliament of the Portuguese Republic
spellingShingle Forecasting electoral results for the Parliament of the Portuguese Republic
Azevedo, Diamantino
title_short Forecasting electoral results for the Parliament of the Portuguese Republic
title_full Forecasting electoral results for the Parliament of the Portuguese Republic
title_fullStr Forecasting electoral results for the Parliament of the Portuguese Republic
title_full_unstemmed Forecasting electoral results for the Parliament of the Portuguese Republic
title_sort Forecasting electoral results for the Parliament of the Portuguese Republic
author Azevedo, Diamantino
author_facet Azevedo, Diamantino
Correia, Luís
Gaspar, Graça
author_role author
author2 Correia, Luís
Gaspar, Graça
author2_role author
author
dc.contributor.author.fl_str_mv Azevedo, Diamantino
Correia, Luís
Gaspar, Graça
description In earlier work, Data Mining techniques using a large number of public available socioeconomic variables about Portugal were used to predict election results between 1974 and 2009 (thirteen elections) for the Parliament of the Portuguese Republic. However, the political spectrum considered in that work does not cover 100% of the votes cast, but only the four parties with regular parliamentary seat since 1975, whose voting reaches about 84%. In the approach previously adopted, each of the four traditional parties was treated separately resulting in independent forecasts. In this paper we analyse the extension of that work to the forecasting of the remaining interval of the election results and its use to ensure the restriction that the total percentage of votes cast adds up to 100%. The results showed that the methods previously applied allow making predictions with similar quality for the remaining partisan forces.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/other
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.34627/rcc.v7i0.90
oai:ojs2.journals.uab.pt:article/90
url https://doi.org/10.34627/rcc.v7i0.90
identifier_str_mv oai:ojs2.journals.uab.pt:article/90
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://journals.uab.pt/index.php/rcc/article/view/90
https://doi.org/10.34627/rcc.v7i0.90
https://journals.uab.pt/index.php/rcc/article/view/90/54
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2013 Universidade Aberta
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos de Autor (c) 2013 Universidade Aberta
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Aberta
publisher.none.fl_str_mv Universidade Aberta
dc.source.none.fl_str_mv Revista de Ciências da Computação; v. 7 (2012)
2182-1801
1646-6330
10.34627/rcc.v7i0
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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