Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

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 (ABSA) has been extensively studied in recent years,
which typically involves four fundamental sentiment elements, including the aspect category …

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

Neural network methods have achieved promising results for sentiment classification of text.
However, these models only use semantics of texts, while ignoring users who express the …

Most of the aspect based sentiment analysis research aims at identifying the sentiment
polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture …

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 is a special type of sentiment analysis that aims to identify
the discussed aspects and their sentiment polarities in a given review. In this paper, two …

Aspect level sentiment classification is a fine-grained sentiment analysis task. To detect the
sentiment towards a particular aspect in a sentence, previous studies have developed …

Sentiment analysis has attracted increasing attention in e-commerce. The sentiment
polarities underlying user reviews are of great value for business intelligence. Aspect …