In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Learning from positive and unlabeled data or PU learning is the setting where a learner only
has access to positive examples and unlabeled data. The assumption is that the unlabeled …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Automated classification of text into predefined categories has always been considered as a
vital method to manage and process a vast amount of documents in digital forms that are …

Sentiment analysis helps evaluating the performance of products or services from user
generated contents. Lexicon based sentiment analysis approaches are preferred over …

Abstract Concept drift constitutes a challenging problem for the machine learning and data
mining community that frequently appears in real world stream classification problems. It is …

The rapid proliferation of complex information systems has been met by an ever-increasing
quantity of exploits that can cause irreparable cyber breaches. To mitigate these cyber …

Adaptive learning is an approach toward personalized learning and places the concept of
“learner-centered education” into practice. With the rapid development of artificial …

The newly emerging event-based social networks (EBSNs) connect online and offline social
interactions, offering a great opportunity to understand behaviors in the cyber-physical …