With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

Sentiment analysis is one of the major tasks of natural language processing, in which
attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted …

Students are prone to experiencing learning burnout while engaged in online learning due
to the lack of interaction. However, peer feedback can play an important role in alleviating …

Massive open online courses (MOOCs) are recent innovative approaches in distance
education, which provide learning content to participants without age‐, gender‐, race‐, or …

The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …

Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …

With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …

In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

Sentiment analysis (SA) is widespread across all fields and has become one of the most
active topics in education research, and there is a growing body of papers published. So far …