SteamBR: a dataset for game reviews and evaluation of a state-of-the-art method for helpfulness prediction (2023)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; JORGE, GERMANO ANTÔNIO ZANI - ICMC
- Unidade: ICMC
- DOI: 10.5753/brasnam.2023.230132
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE TEXTO; PORTUGUÊS DO BRASIL; PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2023
- Source:
- Conference titles: Congresso da Sociedade Brasileira de Computação - CSBC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
JORGE, Germano Antonio Zani e PARDO, Thiago Alexandre Salgueiro. SteamBR: a dataset for game reviews and evaluation of a state-of-the-art method for helpfulness prediction. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/brasnam.2023.230132. Acesso em: 09 fev. 2026. -
APA
Jorge, G. A. Z., & Pardo, T. A. S. (2023). SteamBR: a dataset for game reviews and evaluation of a state-of-the-art method for helpfulness prediction. In Anais. Porto Alegre: SBC. doi:10.5753/brasnam.2023.230132 -
NLM
Jorge GAZ, Pardo TAS. SteamBR: a dataset for game reviews and evaluation of a state-of-the-art method for helpfulness prediction [Internet]. Anais. 2023 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.5753/brasnam.2023.230132 -
Vancouver
Jorge GAZ, Pardo TAS. SteamBR: a dataset for game reviews and evaluation of a state-of-the-art method for helpfulness prediction [Internet]. Anais. 2023 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.5753/brasnam.2023.230132 - Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese
- Evaluating state-of-the-art extractive summarization methods for brazilian portuguese
- Clustering and hierarchical organization of opinion aspects: a corpus study
- Improving content selection for update summarization with subtopic-enriched sentence ranking functions
- Update summarization for portuguese
- Rearrangement and creation of new corpora for update and compressive summarization tasks for portuguese language
- Semi-supervised never-ending learning in rhetorical relation identification
- Update summarization: building from scratch for Portuguese and comparing to English
- Hierarchical clustering of aspects for opinion mining: a corpus study
- Multi-document summarization using semantic discourse models
Informações sobre o DOI: 10.5753/brasnam.2023.230132 (Fonte: oaDOI API)
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