GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …

Aspect-based sentiment analysis (ABSA) deals with understanding sentiments about
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …

Social network systems are constantly fed with text messages. While this enables rapid
communication and global awareness, some messages could be aptly made to hurt or …

This research confronts the persistent challenge of data scarcity in medical machine
learning by introducing a pioneering methodology that harnesses the capabilities of …

This study addresses the challenge of class imbalance in sentiment analysis by utilizing
synthetic data to balance training datasets. We introduce an innovative approach using the …

This paper provides a detailed survey of synthetic data techniques. We first discuss the
expected goals of using synthetic data in data augmentation, which can be divided into four …

In recent years, we have witnessed significant growth in digital banking transactions,
supported by technological advancements. According to the latest data from the FinTech …

Sentiment analysis is crucial in understanding public opinions and attitudes on social media
platforms. However, dealing with imbalanced datasets, especially in the context of Arabic …

The growth in the number of dependent people in the world is a problem reported by
prestigious organisations such as the World Health Organisation, which estimates that the …