The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

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 …

Recently, sentiment analysis has seen remarkable advance with the help of pre-training
approaches. However, sentiment knowledge, such as sentiment words and aspect …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …

With the rapid development and popularization of Internet and mobile communication
technologies, text data mining has attracted much attention. In particular, with the wide use …

Abstract Multimodal Aspect-Based Sentiment Analysis (MABSA) is an essential task in
sentiment analysis that has garnered considerable attention in recent years. Typical …

Students' feedback is crucial for academic institutions in order to evaluate faculty
performance. Handling the qualitative opinions of students efficiently while automatic report …

Transfer learning provides an effective solution for feasibly and fast customize accurate
Student models, by transferring the learned knowledge of pre-trained Teacher models over …