Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

User-generated content on various Internet platforms is growing explosively, and contains
valuable information that helps decision-making. However, extracting this information …

As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term
extraction, opinion term extraction, and aspect-level sentiment classification. Early works …

Dependency trees have been intensively used with graph neural networks for aspect-based
sentiment classification. Though being effective, such methods rely on external dependency …

It is popular that neural graph-based models are applied in existing aspect-based sentiment
analysis (ABSA) studies for utilizing word relations through dependency parses to facilitate …

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment classification task.
Many recent works have used dependency trees to extract the relation between aspects and …

In this paper, we explore a novel solution of constructing a heterogeneous graph for each
instance by leveraging aspect-focused and inter-aspect contextual dependencies for the …

Deep neural networks (dnn) techniques for aspect-based sentiment classification have been
widely studied. The success of these methods depends largely on training data which are …