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 …

Sentiment analysis is essential for comprehending public opinion, particularly when
considering e-commerce and the expansion of online businesses. Early approaches treated …

Aspect-based sentiment analysis (ABSA) endeavours predict the sentiment polarity of
specific aspects of a given review. Recently, prompt tuning has been widely explored and …

The rapid development of aspect-based sentiment analysis (ABSA) within recent decades
shows great potential for real-world society. The current ABSA works, however, are mostly …

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific
aspect in the given sentence. While pre-trained language models such as BERT have …

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 …

Most existing aspect-based sentiment analysis (ABSA) research efforts are devoted to
extracting the aspect-dependent sentiment features from the sentence towards the given …

In recent years, aspect category detection has become popular due to the rapid growth in
customer reviews data on e-commerce and other online platforms. Aspect Category …

Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has
received much attention recently. Many works investigate sentiment information through …

With the rapid development of location-based social networks (LBSNs), point-of-interest
(POI) recommendations have become a practical problem attracting more and more …