GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...

A suite of methods for explainable AI for different Ai models

This method analyses German tweets for names of persons, locations and organizations. It also performs normalization of abbreviations and commonTwitter slang.

This code contains two Mathematica notebooks to find the polarizing opinion vectors given the social graph and the nodes’ susceptibility. The notebooks have to be saved in the...

TripBuilder is a mobile service helping tourists to build their own personalized sightseeing tour of a city. Given a targeted touristic area, the time available for the visit,...

Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...

A pipeline designed to detect political topics, hashtags, URLs, user mention, and hashtag-based voting intentions, expressed in tweets about the UK referendum on membership of...

Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its...

It is a general method to determine the influence of social and mobility behavior over a specific geographical area in order to evaluate to what extent the current...

Algorithms that tackle the problem of minimizing average/maximum hitting time (BMAH/BMMH) between different social network groups, given fixed shortcut edges. The...

Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we...

We provide a method to visualize the results of Boolean Matrix Factorization algorithms. Our method can also be used to visualize overlapping clusters in bipartite graphs. The...

A machine learning classifier trained to categorise text about COVID-19 vaccines into 6 categories - Liberty or Freedom; Development, Provision and Access; Safety, Efficacy...

Our method analyzes the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from...

An algorithm to forecast the injuries of soccer players given their training workload

The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...

Base Noun Phrase Chunker, producing NounChunk annotations.

The CYMRIE named entity recognition is a service for the analysis of Welsh text. It identifies name of persons, locations, organizations, as well as money amounts, time and...

GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...

This method is a fast and flexible approach to estimate privacy risk in human mobility data. The idea is to train classifiers to capture the relation between individual...