Sep 8, 2023 · The proposed PSA-GCN model effectively utilizes part-of-speech information and syntactic knowledge in sentences to produce better aspect-level ...
This paper proposes a sentiment-supported graph convolutional network (SSGCN), which first extracts the semantic information of words using aspect-aware ...
Missing: speech- classification.
Part-of-speech- and syntactic-aware graph convolutional network for aspect-level sentiment classification. https://doi.org/10.1007/s11042-023-16671-5.
In this paper, we propose a novel target-dependent graph attention network (TD-GAT) for aspect level sentiment classification, which explicitly utilizes the ...
Missing: speech- convolutional
In this paper, we propose a syntax-aware and graph convolutional network-based sentiment analysis model for aspect-level sentiment analysis tasks.
In this paper, we exploit syntactic awareness to the model by the graph attention network on the dependency tree structure and external pre-training knowledge ...
Missing: convolutional | Show results with:convolutional
In this paper, we construct a word-level relational hypergraph containing various syntactic and semantic relationships between aspect words and other context ...
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Jan 9, 2024 · This paper proposes a sentiment analysis model based on the Syntax-Aware and Graph Convolutional Network (SAGCN).
In this paper, we propose a novel target-dependent graph attention neural network for aspect level sentiment classification. • Using GloVe embeddings, our ...
Article "Part-of-speech- and syntactic-aware graph convolutional network for aspect-level sentiment classification" Detailed information of the J-GLOBAL is ...