Weak supervision for question and answering sentiment analysis (2023)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; TOMITA, VICTOR AKIHITO KAMADA - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICMLA58977.2023.00287
- Subjects: APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; EMOÇÕES
- Keywords: Weak Supervision; Question Generation; Question and Answering; Sentiment Analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2023
- Source:
- Título: Proceedings
- ISSN: 1946-0759
- Conference titles: International Conference on Machine Learning and Applications - ICMLA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
TOMITA, Victor Akihito Kamada e LOBATO, Fábio Manoel França e MARCACINI, Ricardo Marcondes. Weak supervision for question and answering sentiment analysis. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICMLA58977.2023.00287. Acesso em: 01 jan. 2026. -
APA
Tomita, V. A. K., Lobato, F. M. F., & Marcacini, R. M. (2023). Weak supervision for question and answering sentiment analysis. In Proceedings. Piscataway: IEEE. doi:10.1109/ICMLA58977.2023.00287 -
NLM
Tomita VAK, Lobato FMF, Marcacini RM. Weak supervision for question and answering sentiment analysis [Internet]. Proceedings. 2023 ;[citado 2026 jan. 01 ] Available from: https://doi.org/10.1109/ICMLA58977.2023.00287 -
Vancouver
Tomita VAK, Lobato FMF, Marcacini RM. Weak supervision for question and answering sentiment analysis [Internet]. Proceedings. 2023 ;[citado 2026 jan. 01 ] Available from: https://doi.org/10.1109/ICMLA58977.2023.00287 - Pseudo-labeling domain adaptation using multi-model learning
- TF-MVSA: multimodal video Sentiment analysis tool using transfer learning
- Cluster fusion training: exploring cluster analysis to enhance cross-domain sentiment classification
- Multi-Representation Learning for Domain Adaptation in Machine Learning Applications
- Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos
- Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution
- Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
- Issue detection and prioritization based on mobile application reviews
- Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents
- Named Entity Recognition approaches applied to legal document segmentation
Informações sobre o DOI: 10.1109/ICMLA58977.2023.00287 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3191735.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
