The challenges of modeling and predicting online review helpfulness (2021)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; SOUSA, ROGÉRIO FIGUEREDO DE - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; APRENDIZADO COMPUTACIONAL; LINGUÍSTICA COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2021
- Source:
- Título: Anais
- Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC
-
ABNT
SOUSA, Rogério Figueredo de e PARDO, Thiago Alexandre Salgueiro. The challenges of modeling and predicting online review helpfulness. 2021, Anais.. Porto Alegre: SBC, 2021. Disponível em: https://sol.sbc.org.br/index.php/eniac/article/view/18298. Acesso em: 16 out. 2024. -
APA
Sousa, R. F. de, & Pardo, T. A. S. (2021). The challenges of modeling and predicting online review helpfulness. In Anais. Porto Alegre: SBC. Recuperado de https://sol.sbc.org.br/index.php/eniac/article/view/18298 -
NLM
Sousa RF de, Pardo TAS. The challenges of modeling and predicting online review helpfulness [Internet]. Anais. 2021 ;[citado 2024 out. 16 ] Available from: https://sol.sbc.org.br/index.php/eniac/article/view/18298 -
Vancouver
Sousa RF de, Pardo TAS. The challenges of modeling and predicting online review helpfulness [Internet]. Anais. 2021 ;[citado 2024 out. 16 ] Available from: https://sol.sbc.org.br/index.php/eniac/article/view/18298 - Evaluating content features and classification methods for helpfulness prediction of online reviews: establishing a benchmark for portuguese
- Modeling the paraphrase detection task over a heterogeneous graph network with data augmentation
- Classificação da utilidade de opiniões em português brasileiro
- Using rhetorical structure theory and entity grids to automatically evaluate local coherence in texts
- Automatic alignment of news texts and their multi-document summaries: comparison among methods
- Joint semantic discourse models for automatic multi-document summarization
- On strategies of human multi-document summarization
- Corpus analysis of aspects in multi-document summaries: the case of news texts from "world" section
- A generative approach for multi-document summarization using semantic-discursive information
- Anotação de sentidos de verbos em textos jornalísticos do corpus CSTNews
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3054579.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
