Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …

Phishing is the most prevalent method of cybercrime that convinces people to provide
sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant …

Text-based communication is highly favoured as a communication mean, especially in
business environments. As a result, it is often abused by sending malicious messages, eg …

In recent years, a rapid shift from general and random attacks to more sophisticated and
advanced ones can be noticed. Unsolicited email or spam is one of the sources of many …

Mobile learning (m-learning) is increasingly becoming a popular global trend, especially
among English language learners. However, despite the growing interest in mobile English …

The selection of a suitable job applicant from the pool of thousands applications is often
daunting job for an employer. The categorization of job applications submitted in form of …

Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

Learning-based classifiers are found to be susceptible to adversarial examples. Recent
studies suggested that ensemble classifiers tend to be more robust than single classifiers …