Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …

In contrast to earlier ABSA studies primarily concentrating on individual sentiment
components, recent research has ventured into more complex ABSA tasks encompassing …

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 …

Generative methods greatly promote aspect-based sentiment analysis via generating a
sequence of sentiment elements in a specified format. However, existing studies usually …

Aspect-based sentiment analysis (ABSA) has received increasing attention recently. ABSA
can be divided into multiple tasks according to the different extracted elements. Existing …

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task, which
focuses on detecting the sentiment polarity towards the aspect in a sentence. However, it is …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Aspect-based sentiment analysis (ABSA) is a fine-grained task that detects the sentiment
polarities of particular aspect words in a sentence. With the rise of graph convolution …

Online cruise reviews provide valuable insights for group cruise evaluations, but the vast
quantity and varied quality of reviews pose significant challenges. Further complications …

Cross-domain aspect-based sentiment analysis (ABSA) aims to perform various fine-grained
sentiment analysis tasks on a target domain by transferring knowledge from a source …