NLP-based platform as a service: a brief review
Natural language processing (NLP) refers to the field of study that focuses on the
interactions between human language and computers. It has recently gained much attention …
interactions between human language and computers. It has recently gained much attention …
An influence assessment method based on co-occurrence for topologically reduced big data sets
The extraction of meaningful, accurate, and relevant information is at the core of Big Data
research. Furthermore, the ability to obtain an insight is essential in any decision-making …
research. Furthermore, the ability to obtain an insight is essential in any decision-making …
The rise of big data science: A survey of techniques, methods and approaches in the field of natural language processing and network theory
The continuous creation of data has posed new research challenges due to its complexity,
diversity and volume. Consequently, Big Data has increasingly become a fully recognised …
diversity and volume. Consequently, Big Data has increasingly become a fully recognised …
PERMS: An efficient rescue route planning system in disasters
X Xu, L Zhang, M Trovati, F Palmieri… - Applied Soft …, 2021 - Elsevier
The occurrence of natural and man-made disasters usually leads to significant social and
economic disruption, as well as high numbers of casualties. Such occurrences are difficult to …
economic disruption, as well as high numbers of casualties. Such occurrences are difficult to …
Automated extraction of fragments of Bayesian networks from textual sources
Mining large amounts of unstructured data for extracting meaningful, accurate, and
actionable information, is at the core of a variety of research disciplines including computer …
actionable information, is at the core of a variety of research disciplines including computer …
Reduced topologically real-world networks: a big-data approach
M Trovati - International Journal of Distributed Systems and …, 2015 - igi-global.com
The topological and dynamical properties of real-world networks have attracted extensive
research from a variety of multi-disciplinary fields. They, in fact, model typically big datasets …
research from a variety of multi-disciplinary fields. They, in fact, model typically big datasets …
Towards an automated approach to extract and compare fictional networks: An initial evaluation
M Trovati, J Brady - 2014 25th International Workshop on …, 2014 - ieeexplore.ieee.org
Within the field of Digital Humanities, fictional networks are defined by the social interactions
among characters, capturing unique features associated with each different textual source …
among characters, capturing unique features associated with each different textual source …
An analytical tool to map big data to networks with reduced topologies
M Trovati, E Asimakopoulou… - … Conference on Intelligent …, 2014 - ieeexplore.ieee.org
The topological and dynamical properties of real-world networks have attracted extensive
research from a variety of multi-disciplinary fields. They, in fact, model typically big datasets …
research from a variety of multi-disciplinary fields. They, in fact, model typically big datasets …
Detecting present events to predict future: detection and evolution of events on Twitter
Event is not a one-off occurrence of something, rather it is a continuous chain of small
events. Along with event detection, the event evolution is equally important. Most existing …
events. Along with event detection, the event evolution is equally important. Most existing …
Post COVID-19 Remote Medicine and Telemedicine Evaluation via Natural Language Processing Techniques
The COVID-19 pandemic greatly increased the workload of hospitals and various
restrictions were put in place to restrict the spread of the virus. As a result, clinics were shut …
restrictions were put in place to restrict the spread of the virus. As a result, clinics were shut …