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 …

Recently, ChatGPT has drawn great attention from both the research community and the
public. We are particularly interested in whether it can serve as a universal sentiment …

Sentiment analysis (SA) has been a long-standing research area in natural language
processing. It can offer rich insights into human sentiments and opinions and has thus seen …

While sentiment analysis systems try to determine the sentiment polarities of given targets
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …

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 aims to determine sentiment polarities toward specific
aspect terms within the same sentence or document. Most recent studies adopted attention …

The research carried out so far in detecting abusive content in social media has primarily
focused on overt forms of hate speech. While explicit hate speech (HS) is more easily …

Generative models have demonstrated impressive results on Aspect-based Sentiment
Analysis (ABSA) tasks, particularly for the emerging task of extracting Aspect-Category …

Previous studies have shown that incorporating sentiment knowledge (eg, sentiment scores)
is effective for aspect-based sentiment analysis (ABSA). However, sentiment knowledge is …

Alzheimer's disease (AD) is a neurodegenerative disease that is difficult to be detected
using convenient and reliable methods. The language change in patients with AD is an …