Implicit opinion aspect clues in portuguese texts: analysis and categorization (2022)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; RUIZ, EVANDRO EDUARDO SERON - FFCLRP ; MACHADO, MATEUS TARCINALLI - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC
- Unidades: ICMC; FFCLRP
- DOI: 10.1007/978-3-030-98305-5_7
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; CORPUS; PORTUGUÊS DO BRASIL
- Keywords: Sentiment analysis; Implicit aspects; Lexicon; Corpus annotation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13208, p. 68-78, 2022
- Conference titles: International Conference on International Conference - PROPOR
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MACHADO, Mateus Tarcinalli et al. Implicit opinion aspect clues in portuguese texts: analysis and categorization. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_7. Acesso em: 28 dez. 2025. , 2022 -
APA
Machado, M. T., Pardo, T. A. S., Ruiz, E. E. S., Felippo, A. di, & Vargas, F. A. (2022). Implicit opinion aspect clues in portuguese texts: analysis and categorization. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_7 -
NLM
Machado MT, Pardo TAS, Ruiz EES, Felippo A di, Vargas FA. Implicit opinion aspect clues in portuguese texts: analysis and categorization [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 68-78.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7 -
Vancouver
Machado MT, Pardo TAS, Ruiz EES, Felippo A di, Vargas FA. Implicit opinion aspect clues in portuguese texts: analysis and categorization [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 68-78.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_7 - Learning rules for automatic identification of implicit aspects in portuguese
- Using graph-based centrality measures for sentiment analysis
- NILC at ABSAPT 2022: aspect extraction for portuguese
- Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework
- Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects
- Context-aware and expert data resources for brazilian portuguese hate speech detection
- Aspect clustering for sentiment analysis
- Rhetorical structure approach for online deception detection: a survey
- Socially responsible and explainable automated fact-checking and hate speech detection
- Toward discourse-aware models for multilingual fake news detection
Informações sobre o DOI: 10.1007/978-3-030-98305-5_7 (Fonte: oaDOI API)
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