In this paper, we propose an approach to understand situations in the real world with the
sentiment analysis of Twitter data base on deep learning techniques. With the proposed …

As an increasing amount of crime takes on a digital aspect, law enforcement bodies must
tackle an online environment generating huge volumes of data. With manual inspections …

Spatial data mining is the process of discovering interesting and previously unknown, but
potentially useful patterns from the spatial and spatiotemporal data. However, explosive …

The remarkable success of online social media sites marks a shift in the way people connect
and share information. Much of this information now contains some form of geographical …

Publicly available social media archives facilitate research in a variety of fields, such as data
science, sociology or the digital humanities, where Twitter has emerged as one of the most …

Fostered by Web 2.0, ubiquitous computing, and corresponding technological
advancements, social media have become massively popular during the last decade. The …

Crisis response is a time-sensitive problem with multiple concurrent and interacting
subprocesses, applied around the world in a wide range of contexts and with access to …

The amount of real-time user-generated content about disasters and large scale incidents
has increased drastically. However, this valuable information source is hardly used by relief …

Web 2.0 is bringing the ability to share information online and create the different forms of
the collaboration. Replacing a static nature with the dynamics and real-time content, the …

The emergence of cloud computing presents a strategic direction for critical infrastructures
and promises to have far-reaching effects on their systems and networks to deliver better …