Analysis of Aspect Extraction Methods in Regular Opinions
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Publication Date: | 2020 |
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Format: | Article |
Language: | por |
Source: | Brazilian Journal of Information Systems |
Download full: | https://journals-sol.sbc.org.br/index.php/isys/article/view/796 |
Summary: | This work presents a comparative analysis between the main approaches used at the task of Extraction of Aspects in reports about products and services on web sites. Adaptations of four methods of extraction of aspects were implemented and evaluated using two distinct Corpora, one in Portuguese and another in English. On the experiments performed it was observed that the approach using supervised learning (convolutional neural networks) obtained better results on the others. |
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Brazilian Journal of Information Systems |
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Analysis of Aspect Extraction Methods in Regular OpinionsAnálise de Métodos de Extração de Aspectos em Opiniões RegularesOpinion MiningSentiment AnalysisAspect ExtractionMineração de OpiniãoAnálise de SentimentosExtração de AspectosThis work presents a comparative analysis between the main approaches used at the task of Extraction of Aspects in reports about products and services on web sites. Adaptations of four methods of extraction of aspects were implemented and evaluated using two distinct Corpora, one in Portuguese and another in English. On the experiments performed it was observed that the approach using supervised learning (convolutional neural networks) obtained better results on the others.Este trabalho apresenta uma análise comparativa entre as principais abordagens usadas na tarefa de Extração de Aspectos em comentários sobre produtos e serviços em web sites. Adaptações de quatro métodos de extração de aspectos foram implementadas e avaliadas usando dois Corpora distintos: um em português e outro em inglês. Nos experimentos realizados foi observado que a abordagem usando aprendizagem supervisionada (redes neurais convolucionais) obteve melhores resultados que as demais.Sociedade Brasileira de Computação2020-06-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://journals-sol.sbc.org.br/index.php/isys/article/view/79610.5753/isys.2020.796iSys - Revista Brasileira de Sistemas de Informação; v. 13 n. 3 (2020); 82-97iSys - Brazilian Journal of Information Systems; Vol. 13 No. 3 (2020); 82-971984-290210.5753/isys.2020.3reponame:Brazilian Journal of Information Systemsinstname:Sociedade Brasileira de Computação (SBC)instacron:SBCporhttps://journals-sol.sbc.org.br/index.php/isys/article/view/796/742Copyright (c) 2020 iSys - Brazilian Journal of Information Systemsinfo:eu-repo/semantics/openAccessVieira, João Paulo AlbuquerqueMoura, Raimundo Santos2020-07-06T19:34:52Zoai:journals-sol.sbc.org.br:article/796Revistahttps://journals-sol.sbc.org.br/index.php/isys/ONGhttps://journals-sol.sbc.org.br/index.php/isys/oaipublicacoes@sbc.org.br1984-29021984-2902opendoar:2020-07-06T19:34:52Brazilian Journal of Information Systems - Sociedade Brasileira de Computação (SBC)false |
dc.title.none.fl_str_mv |
Analysis of Aspect Extraction Methods in Regular Opinions Análise de Métodos de Extração de Aspectos em Opiniões Regulares |
title |
Analysis of Aspect Extraction Methods in Regular Opinions |
spellingShingle |
Analysis of Aspect Extraction Methods in Regular Opinions Vieira, João Paulo Albuquerque Opinion Mining Sentiment Analysis Aspect Extraction Mineração de Opinião Análise de Sentimentos Extração de Aspectos |
title_short |
Analysis of Aspect Extraction Methods in Regular Opinions |
title_full |
Analysis of Aspect Extraction Methods in Regular Opinions |
title_fullStr |
Analysis of Aspect Extraction Methods in Regular Opinions |
title_full_unstemmed |
Analysis of Aspect Extraction Methods in Regular Opinions |
title_sort |
Analysis of Aspect Extraction Methods in Regular Opinions |
author |
Vieira, João Paulo Albuquerque |
author_facet |
Vieira, João Paulo Albuquerque Moura, Raimundo Santos |
author_role |
author |
author2 |
Moura, Raimundo Santos |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Vieira, João Paulo Albuquerque Moura, Raimundo Santos |
dc.subject.por.fl_str_mv |
Opinion Mining Sentiment Analysis Aspect Extraction Mineração de Opinião Análise de Sentimentos Extração de Aspectos |
topic |
Opinion Mining Sentiment Analysis Aspect Extraction Mineração de Opinião Análise de Sentimentos Extração de Aspectos |
description |
This work presents a comparative analysis between the main approaches used at the task of Extraction of Aspects in reports about products and services on web sites. Adaptations of four methods of extraction of aspects were implemented and evaluated using two distinct Corpora, one in Portuguese and another in English. On the experiments performed it was observed that the approach using supervised learning (convolutional neural networks) obtained better results on the others. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-17 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://journals-sol.sbc.org.br/index.php/isys/article/view/796 10.5753/isys.2020.796 |
url |
https://journals-sol.sbc.org.br/index.php/isys/article/view/796 |
identifier_str_mv |
10.5753/isys.2020.796 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://journals-sol.sbc.org.br/index.php/isys/article/view/796/742 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 iSys - Brazilian Journal of Information Systems info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 iSys - Brazilian Journal of Information Systems |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Computação |
publisher.none.fl_str_mv |
Sociedade Brasileira de Computação |
dc.source.none.fl_str_mv |
iSys - Revista Brasileira de Sistemas de Informação; v. 13 n. 3 (2020); 82-97 iSys - Brazilian Journal of Information Systems; Vol. 13 No. 3 (2020); 82-97 1984-2902 10.5753/isys.2020.3 reponame:Brazilian Journal of Information Systems instname:Sociedade Brasileira de Computação (SBC) instacron:SBC |
instname_str |
Sociedade Brasileira de Computação (SBC) |
instacron_str |
SBC |
institution |
SBC |
reponame_str |
Brazilian Journal of Information Systems |
collection |
Brazilian Journal of Information Systems |
repository.name.fl_str_mv |
Brazilian Journal of Information Systems - Sociedade Brasileira de Computação (SBC) |
repository.mail.fl_str_mv |
publicacoes@sbc.org.br |
_version_ |
1832110917074026496 |