- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Bert-based graph unlinked embedding for sentiment analysis ; day:8 ; month:12 ; year:2023 ; pages:1-12
Complex & intelligent systems ; (8.12.2023), 1-12
- Creator
-
Jin, Youkai
Zhao, Anping
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-023-01289-9
- URN
-
urn:nbn:de:101:1-2024022609384336651844
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jin, Youkai
- Zhao, Anping
- SpringerLink (Online service)
Other Objects (12)
Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Multiplex network embedding for implicit sentiment analysis
An embedding-based distance for temporal graphs
Aspect-based sentiment analysis on multi-domain reviews through word embedding
O $$^2$$ 2 -Bert: Two-Stage Target-Based Sentiment Analysis
Embedding Based Link Prediction for Knowledge Graph Completion
Arabic aspect sentiment polarity classification using BERT
A survey: knowledge graph entity alignment research based on graph embedding
Performance Analysis of Embedding Methods for Deep Learning-Based Turkish Sentiment Analysis Models
Rethinking of BERT sentence embedding for text classification
Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Multiplex network embedding for implicit sentiment analysis
An embedding-based distance for temporal graphs
Aspect-based sentiment analysis on multi-domain reviews through word embedding
O $$^2$$ 2 -Bert: Two-Stage Target-Based Sentiment Analysis
Embedding Based Link Prediction for Knowledge Graph Completion
Arabic aspect sentiment polarity classification using BERT
A survey: knowledge graph entity alignment research based on graph embedding
Performance Analysis of Embedding Methods for Deep Learning-Based Turkish Sentiment Analysis Models
Rethinking of BERT sentence embedding for text classification
Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Multiplex network embedding for implicit sentiment analysis
An embedding-based distance for temporal graphs
Aspect-based sentiment analysis on multi-domain reviews through word embedding
O $$^2$$ 2 -Bert: Two-Stage Target-Based Sentiment Analysis
Embedding Based Link Prediction for Knowledge Graph Completion
Arabic aspect sentiment polarity classification using BERT
A survey: knowledge graph entity alignment research based on graph embedding
Performance Analysis of Embedding Methods for Deep Learning-Based Turkish Sentiment Analysis Models