Forecasting electoral results for the Parliament of the Portuguese Republic
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , |
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. |
id |
RCAP_1ccc2297569f6cc3e7c5190e9cb9991f |
---|---|
oai_identifier_str |
oai:ojs2.journals.uab.pt:article/90 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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) 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) |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799130592958218240 |