Jan 19, 2023 · To address this deficiency, we propose a graph convolutional network based on Merger aspect entities and Location-aware transformation (MLGCN).
The merged syntactic dependency graph is obtained through parsing for the sentence after merging aspect words. Then, we feed the sentence into an encoder and ...
Jan 19, 2023 · To address this deficiency, we propose a graph convolutional network based on Merger aspect entities and Location-aware transformation (MLGCN).
Aspect-level sentiment classification via location enhanced aspect-merged graph convolutional networks. Authors. Jiang, Baoxing; Xu, Guangtao; Liu, Peiyu.
This is for paper "Aspect-level Sentiment Classification via location enhanced Aspect-merged graph convolutional networks" - BaoSir529/MLGCN.
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Aspect-level sentiment classification via location enhanced aspect-merged graph convolutional networks ... enhanced graph convolutional networks. Knowl ...
Aspect-level sentiment classification via location enhanced aspect-merged graph convolutional networks. Baoxing Jiang, Guangtao Xu, Peiyu Liu.
Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing, inferring, and synthesizing subjective sentiments of entities ...
Jun 26, 2024 · To address this deficiency, we propose a graph convolutional network based on Merger aspect entities and Location-aware transformation (MLGCN).
Jiang B, Xu G, and Liu P Aspect-level sentiment classification via location enhanced aspect-merged graph convolutional networks J Supercomput 2023 79 9 9666.