Sentiment analysis has proven to be a valuable tool to gauge public opinion in different
disciplines. It has been successfully employed in financial market prediction, health issues …

Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …

As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …

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 …

We live in a digitized era where our daily life depends on using online resources.
Businesses consider the opinions of their customers, while people rely on the …

The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …

Aspect-based sentiment analysis (ABSA) has received increasing attention recently. ABSA
can be divided into multiple tasks according to the different extracted elements. Existing …