Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

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 …

In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …

The need for data-driven decision-making primarily motivates interest in analysing Big Data
in higher education. Although there has been considerable research on the value of Big …

Online social networks (OSNs) play a crucial role in modern society by supporting free
expression, information sharing, and social movement organization. However, they are also …

Students' opinions are the most essential source to enhance the quality of education and
educational services in Open and Distance education (ODE) Systems. How to access and …

In the current domain, aspect-based sentiment analysis is a much-explored area in
sentiment classification. In this paper, an optimization method, Graph-Cut, is used first time …

Higher education institutes are continually looking for new and better ways to support and
understand the learning experience of their students. One possible option is to use …

This full research paper focuses on a natural language processing (NLP) driven approach to
extract emotions from the speech in collaborative learning environments and analyze how …

To analyse speech intention based on discussion texts in online collaborative discussions,
automatic classification of discussion texts is conducted to assist teachers improve their …