Mining Comparative Opinions in Portuguese: A Lexicon-based Approach

Authors

Michele A. Brandão (ORCID: https://orcid.org/0000-0001-7808-9357)
Daniel Kansaon (ORCID: https://orcid.org/0000-0001-5990-1629)
Júlio C. S. Reis (ORCID: https://orcid.org/0000-0003-0563-0434)
Fabrício Benevenuto (ORCID: https://orcid.org/0000-0001-6875-6259)

Institutions

Universidade Federal de Minas Gerais (BR)
Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais (BR)
Universidade Federal de Viçosa (BR)

Publication Details

Journal: Journal of the Brazilian Computer Society
Published: 2024-09-26
DOI: https://doi.org/10.5753/jbcs.2024.2830
Primary Topic: Sentiment Analysis and Opinion Mining
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Fundação de Amparo à Pesquisa do Estado de São Paulo
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa do Estado de Minas Gerais

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article

Mining Comparative Opinions in Portuguese: A Lexicon-based Approach

Michele A. Brandão, Daniel Kansaon, Júlio C. S. Reis, Fabrício Benevenuto

Sep 26, 2024

Journal of the Brazilian Computer Society

Sentiment Analysis and Opinion Mining

article

Mining Comparative Opinions in Portuguese: A Lexicon-based Approach

Michele A. Brandão, Daniel Kansaon, Júlio C. S. Reis, Fabrício Benevenuto

September 26, 2024article en

Abstract

No abstract available for this paper.

Journal of the Brazilian Computer SocietyVol. 30(1)

Universidade Federal de Minas Gerais (BR), Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais (BR), Universidade Federal de Viçosa (BR)

Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais

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Openalex Percentile: Top 85%

Sentiment Analysis and Opinion Mining

DOI Open Access PDF OpenAlex

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