Cross-lingual topic models have been prevalent for cross-lingual text analysis by revealing
aligned latent topics. However, most existing methods suffer from producing repetitive topics …

Topic modeling can be synergically interrelated with document clustering. We present an
innovative unsupervised approach to the interrelationship of topic modeling with document …

Graph attention networks are effective graph neural networks that perform graph embedding
for semi-supervised learning, which considers the neighbors of a node when learning its …

Parliamentary speech reflects many events, changes and developments in society, as well
as shaping them by influencing legislation and public interest. Knowing what topics have …

Digital news articles are often considered as a primary source of information in today's
information-driven society which requires query processing methods to handle the ever …

The news is a detailed record of events, issues, and opinions published daily in every
country around the world. In addition to daily news content, many national libraries are …

The rise of social networking enables the development of multilingual Internet-accessible
digital documents in several languages. The digital document needs to be evaluated …

Valuable information from a corpus for a specific purpose can be obtained by finding,
extracting, and processing the text through text mining. A corpus is a group of documents …

Augmented Reality (AR) technology is a crucial element in constructing the metaverse and
digital twin, as it overlays information on real-world visuals. AR glasses serve as essential …

Die Auswertung von Kurznachrichten, die auf mobilen Endgeräten gespeichert sind, nimmt
bei strafrechtlichen Ermittlungen immer mehr an Bedeutung zu. Häufig sind Ermittler hierbei …