Background: Few-shot learning (FSL) is a class of machine learning methods that require
small numbers of labeled instances for training. With many medical topics having limited …

People spend considerable time on digital media, and are thus often exposed to
expressions of emotion by other people. This exposure can lead their own emotion …

Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Sentiment is central to many studies of communication science, from negativity and
polarization in political communication to analyzing product reviews and social media …

Social media brand pages act as excellent means for engaging consumers. While most
sport clubs use social media such as Facebook to enhance fan engagement, extant …

NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment
analysis and related tasks, researchers have therefore used binarized emoticons and …

Brand equity is a valuable intangible asset for companies, yet is increasingly difficult in
managing in an era with hard to control social media. The purpose of this study was to …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …