Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016

Detalhes bibliográficos
Autor(a) principal: Agrawal, Madhulika
Data de Publicação: 2016
Outros Autores: Gonçalves, Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/20668
Resumo: This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.
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spelling Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.CEUR2017-02-06T12:07:27Z2017-02-062016-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/20668http://hdl.handle.net/10174/20668engMadhulika Agrawal and Teresa Gon ̧calves. Age and gender identification using stacking for classification. In Krisztian Balog, Linda Cappellato, Ni- cola Ferro, and Craig Macdonald, editors, Working Notes of CLEF’2016 – Conference and Labs of the Evaluation forum, Évora, Portugal, 5-8 September, 2016., volume 1609, pages 785–790, Évora, PT, September 2016. CEURndtcg@uevora.pt498Agrawal, MadhulikaGonçalves, Teresainfo: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:RCAAP2024-01-03T19:10:37Zoai:dspace.uevora.pt:10174/20668Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:12:02.678703Repositório 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 Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
title Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
spellingShingle Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
Agrawal, Madhulika
title_short Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
title_full Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
title_fullStr Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
title_full_unstemmed Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
title_sort Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016
author Agrawal, Madhulika
author_facet Agrawal, Madhulika
Gonçalves, Teresa
author_role author
author2 Gonçalves, Teresa
author2_role author
dc.contributor.author.fl_str_mv Agrawal, Madhulika
Gonçalves, Teresa
description This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-01T00:00:00Z
2017-02-06T12:07:27Z
2017-02-06
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/10174/20668
http://hdl.handle.net/10174/20668
url http://hdl.handle.net/10174/20668
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Madhulika Agrawal and Teresa Gon ̧calves. Age and gender identification using stacking for classification. In Krisztian Balog, Linda Cappellato, Ni- cola Ferro, and Craig Macdonald, editors, Working Notes of CLEF’2016 – Conference and Labs of the Evaluation forum, Évora, Portugal, 5-8 September, 2016., volume 1609, pages 785–790, Évora, PT, September 2016. CEUR
nd
tcg@uevora.pt
498
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dc.publisher.none.fl_str_mv CEUR
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