In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

Text classification is one of the fundamental problems in Natural Language Processing
(NLP). Several research studies have used deep learning approaches such as Convolution …

Wind power prediction is essentially important for smooth integration of wind power into the
national grid pertained to its inherent fluctuations. To facilitate the wind energy production …

Wind power forecasting has high application value in power systems. However, due to the
intermittence and fluctuation of wind power, it is difficult to predict wind power effectively …

Educators show great interest in participating in social-media communities, such as Twitter,
to support their professional development and learning. The majority of the research into …

Millions of students register for Massive Open Online Courses (MOOCs) to look for
opportunities for learning and self-development. However, the learning process usually …

While the importance in collaborative learning of both self-and socially shared regulatory
processes has increasingly been emphasized, little research has examined sequences of …

Engagement is critical in learning, including computer-supported collaborative learning
(CSCL). Previous studies have mainly measured engagement using students' self-reports …

Machine learning techniques are increasingly being applied to clinical text that is already
captured in the Electronic Health Record for the sake of delivering quality care. Applications …

Nowadays social media has become a place for peoples to express their opinions, there are
many ways that can be done to express both positive and negative opinions. Hate speech is …