Predicting the affective valence of unknown multi-word expressions is key for concept-level
sentiment analysis. AffectiveSpace 2 is a vector space model, built by means of random …

The advent of the Social Web has provided netizens with new tools for creating and sharing,
in a time- and cost-efficient way, their contents, ideas, and opinions with virtually the millions …

Emulating the human brain is one of the core challenges of computational intelligence,
which entails many key problems of artificial intelligence, including understanding human …

Between the dawn of the Internet through year 2003, there were just a few dozens exabytes
of information on the Web. Today, that much information is created weekly. The opportunity …

The science of opinion analysis based on data from social networks and other forms of
mass media has garnered the interest of the scientific community and the business world. …

Hitherto, sentiment analysis has been mainly based on algorithms relying on the textual
representation of online reviews and microblogging posts. Such algorithms are very good at …

Background Myoelectric signals offer significant insights in interpreting the motion intention
and extent of effort involved in performing a movement, with application in prostheses, …

The ever-increasing popularity of Social Networks offers unprecedented opportunities to
aggregate people and exchange information, but, at the same time, opens new modalities for …

During the last years, the use of Domain Generation Algorithms (DGAs) has increased with
the aim of improving the resiliency of communication between bots and Command and …

Detecting covert channels among legitimate traffic represents a severe challenge due to the
high heterogeneity of networks. Therefore, we propose an effective covert channel detection …