The importance of timely, accurate and effective use of available information is essential to
the proper management of emergency situations. In recent years, emerging technologies …

Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …

Big Data Approaches (BDAs) refers to the combined use of historic datasets, incoming data
streams, and the array of related technologies designed to shed new light on societal and …

Purpose The sentiment analysis of tweets provides information about peoples' attitudes and
perceptions towards an event. The current study showcases the role of Twitter in a crisis by …

Uncertainty in crises often leads to knowledge gaps, which can be bridged through people's
communication, resulting in sensemaking. Because research dealing with the identification …

Floods are the most common and among the most severe natural disasters in many
countries around the world. As global warming continues to exacerbate sea level rise and …

Urban data management is already an essential element of modern cities. The authorities
can build on the variety of automatically generated information and develop intelligent …

During the last decade, Twitter has become a robust platform for distributing messages
(tweets) among numerous subscribers worldwide. Tweets tend to increase significantly …

In this paper, we propose a sentiment analysis of Twitter data focused on the attitudes and
sentiments of Polish migrants and stayers during the pandemic. We collected 9 million …

In the last few years, thanks to the emergence of Web 2.0, social media has made the
concept of online live events possible. Users participate more and more in long-running …