Deep Learning is a machine learning area that has recently been used in a variety of
industries. Unsupervised, semi-supervised, and supervised-learning are only a few of the …

Students' feedback is an effective mechanism that provides valuable insights about teaching-
learning process. Handling opinions of students expressed in reviews is a quite labour …

Feature selection (FS) is recognized as one of the majority public and challenging problems
in the Machine Learning domain. FS can be examined as an optimization problem that …

This research proposes a novel framework named Enhanced e-Learning Hybrid
Recommender System (ELHRS) that provides an appropriate e-content with the highest …

Label distribution learning is a widely studied supervised learning diagram that can handle
the problem of label ambiguity. The increasing size of datasets is accompanied by the …

The rapid proliferation of user generated content has given rise to large volumes of text
corpora. Increasingly, scholars, researchers, and organizations employ text classification to …

As a popular research field of sentiment analysis, aspect-based sentiment analysis focuses
on the emotional expression in different aspects. However, the current research is not …

Consumer reviews for services and products are an essential performance measure for
organizations on their offerings. They are also necessary for forthcoming consumers to …

Multi-label feature selection has attracted much attention from researchers and can reduce
the high dimensionality of multi-label data. Previous multi-label methods consider the …

This research characterises user engagement of approximately 3,000,000 news postings of
53 news outlets and 50,000,000 associated user comments during 8 months on 5 social …