Extractive summarization of text documents deals with automatic creation of a summary by
combining the most salient sentences extracted from the original text document into a more …

In this study, we analyze the trends of COVID-19 related communication in Croatian
language on Twitter. First, we prepare a dataset of 147,028 tweets about COVID-19 posted …

Sažetak Aiming at high real-time performance processing requirements for large amounts of
online text data in natural language processing applications, an online word vector model …

The paper aims to offer a solution for the identification and annotation of impacts in the
domain of arts and culture. We explore available (ex post) narratives of impactful …

Currently, we are witnessing a major global crisis caused by the ongoing war in Ukraine. In
this paper, we deepen the insights into people's opinions about the Russia-Ukraine war by …

Fake news or rumors are a phenomenon that significantly influences our social lives.
Politicians in the political world usually rely on fake news as a powerful mechanism to …

The rise of people accessing news portals has created intense competition between online
media to get readers or visitors to maximize their revenue. This is what triggers the …

Background As part of the transition of every higher education institution into an intelligent
campus here in the Philippines, the Commission of Higher Education has launched a …

O avanço da tecnologia tem permitido a disseminação de notícias falsas em larga escala.
Criadas para manipular a perspectiva de usuários, atrair sua postura ideológica e instigá …

Learning Analytics focuses on measuring and analyzing learners' data, such as formative
assessment of collaborative writing and individual students' performance. This work applied …