The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …

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 …

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment classification task.
Many recent works have used dependency trees to extract the relation between aspects and …

Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …

Multimodal sentiment analysis utilizes various modalities such as Text, Vision and Speech to
predict sentiment. As these modalities have unique characteristics, methods have been …

The unprecedented development of artificial intelligence has been associated with several
challenges given its substantial influence on economic, social, and cultural structures …

Unveiling consumer preferences in online reviews is receiving increasing attention. While
most existing approaches for consumer preferences have achieved significant …

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