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 …

Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …

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 aims to determine the sentiment polarity towards a specific
aspect in online reviews. Most recent efforts adopt attention-based neural network models to …

The state-of-the-art methods in aspect-level sentiment classification have leveraged the
graph based models to incorporate the syntactic structure of a sentence. While being …

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

Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarities for aspects, is a
fine-grained task in the field of sentiment analysis. Previous work showed syntactic …

Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review
sentences along with their corresponding opinion expressions and sentiments, is an …