Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …

SMS spam detection is an important task where spam SMS messages are identified and
filtered. As greater numbers of SMS messages are communicated every day, it is very …

As an open platform for mobile electronic devices, Android is experiencing a steady growth
in the number of published applications (apps). Features of the Android platform have …

With the enormous growth of Android mobile devices and the huge increase in the number
of published applications (apps), Short Message Service (SMS) is becoming an important …

In this study, we introduce Latent Dirichlet Allocation (LDA) with Social Network Analysis
(SNA) to extract and evaluate latent features arising from mobile Short Messaging Services …

Short Message Service (SMS) traffic is increasing day by day and trillions of sms are sent
and received by billions of users every day. Spam messages are also increasing in same …

Nowadays, SMS spam has been overflowing in many countries. In fact, the standards of
filtering SMS spam are different from country to country. However, the current technologies …

Post-authorship attribution is the computational process of determining the legitimate author
of an online text snippet, such as an email, blog, forum post, or chat log, by employing …

With the overflowing of Short Message Service (SMS) spam nowadays, many traditional text
classification algorithms are used for SMS spam filtering. Nevertheless, because the content …

Probabilistic topic modelling provides computational methods for text analytics. Latent
Dirichlet Allocation (LDA) is a popular Bayesian model that aids in discovering hidden …