The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

Social media is widely used in emergencies, but the nature of the communication is poorly
understood. We employed unsupervised topic modelling and sentiment analysis to analyse …

In the geospatial domain, universal representation models are significantly less prevalent
than their extensive use in natural language processing and computer vision. This …

Every day, many short text messages on social media are generated in response to real-
world events, providing a valuable resource for various domains such as emergency …

Introduction: Telemedicine reduces greenhouse gas emissions (CO2eq); however, results of
studies vary extremely in dependence of the setting. This is the first study to focus on effects …

Introduction Peer-reviewed literature is commonly used to assess academic progress and
research excellency. However, representation in authorship of global health publications is …

Urban mobility analysis using Twitter as a proxy has gained significant attention in various
application fields; however, long-term validation studies are scarce. This paper addresses …

For a location inference model to be successful, the properties of the geotagged tweets
where the location inference model is developed and those of the non-geotagged tweets …

Geospatial predictions are crucial for diverse fields such as disaster management, urban
planning, and public health. Traditional machine learning methods often face limitations …

Highlights What are the main findings? Developed a novel methodology for real-time
mapping of mobility restrictions using spatial crowdsourcing and Telegram in data-limited …