Oct 7, 2023 · This paper proposes a dual-gated graph convolutional network via contextual affective knowledge (DGGCN) to address these issues.
This paper proposes a dual-gated graph convolutional network via contextual affective knowledge (DGGCN) to address these issues. The core idea is to incorporate ...
Feb 2, 2023 · The primary goal of aspect-based sentiment analysis is to identify sentiment polarity with respect to the given aspect in a sentence.
Oct 22, 2024 · [14] EK-GCN is a graph convolutional network enhanced with external knowledge (sentiment lexicons and part-of-speech information), incorporating ...
Oct 29, 2021 · Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to detection the sentiment polarity towards a given ...
Oct 22, 2024 · In this paper, we propose a graph convolutional network based on SenticNet to leverage the affective dependencies of the sentence according to ...
Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment polarity of a sentence toward a specific aspect. Recently,.
Missing: dual- affective
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In this paper, we propose a graph convolutional network based on SenticNet to leverage the affective dependencies of the sentence according to the specific ...
This paper proposes a sentiment analysis model based on the Syntax-Aware and Graph Convolutional Network (SAGCN).
By effectively learning features of both the aspect and context, the method provides ample information to ascertain the sentiment polarity of the aspect. In ...
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