Aspect-based sentiment analysis (ABSA) aims at determining the sentiment polarity of the
given aspect term in a sentence. Recently, graph convolution network (GCN) has been used …

Aspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis that
identifies aspects and their associated opinions from a given text. With the surge of digital …

Aspect-based Sentiment Analysis (ABSA) is a type of fine-grained sentiment analysis (SA)
that identifies aspects and the associated opinions from a given text. In the digital era, ABSA …

Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment
analysis (ABSA) that aims to comprehensively identify sentiment triplets. Previous research …

Abstract Aspect-based Sentiment Analysis (ABSA) is used to detect corresponding
sentiment polarities toward different aspect terms. In recent years, graph convolutional …

Aspect-based sentiment classification aims to automatically predict the sentiment polarity of
the specific aspect in a text. However, it is challenging to confirm the mapping between the …

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task, whose
goal is to identify the sentiment polarity of the specific aspect term in a given sentence …

Recently, multi-modal affective computing has demonstrated that introducing multi-modal
information can enhance performance. However, multi-modal research faces significant …

Sentiment analysis (AS) is one of the basic research directions in natural language
processing (NLP), it is widely adopted for news, product review, and politics. Aspect-based …

The negative herding effect tends to cause the spread of negative emotions among netizens,
resulting in significant public opinion crises. Therefore, linking the negative herding effect …