Jul 29, 2020 · Abstract: Aspect-based sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence.
This work proposes a novel GCN-based model that uses a heterogeneous graph to identify the sentiment expressed towards an aspect given a context sentence.
Aspect-based sentiment classification aims to infer the sentiment expression towards a specific aspect in a sentence. The key to this task is to utilize the ...
We propose to build a Graph Convolutional Network (GCN) over the dependency tree of a sentence to exploit syntactical information and word dependencies.
Missing: Heterogeneous | Show results with:Heterogeneous
We propose a sentiment classification model based on aspect-dependent heterogeneous graph convolutional network (named ADHGCN).
Missing: Specific | Show results with:Specific
Aspect-based sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence. There are two main problems with ...
TL;DR: This work proposes a novel GCN-based model that uses a heterogeneous graph to identify the sentiment expressed towards an aspect given a context ...
We propose a knowledge-guided heterogeneous graph convolutional network for aspect-based sentiment analysis (KHGCN).
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To solve these problems, we integrate multi-aspects and contextual information into a graph, then put forward a multi-aspects heterogeneous graph convolutional ...
Aspect-level sentiment analysis based on semantic heterogeneous graph ...
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Jan 21, 2023 · The deep learning methods based on syntactic dependency tree have achieved great success on Aspect-based Sentiment Analysis (ABSA).