Zusammenfassung Während der Coronapandemie sind in Social Media große Datenmengen entstanden, für deren Bearbeitung automatische Methoden wie etwa das Topic Modeling erforderlich werden. In diversen Studien wurden damit bereits grundlegende Erkenntnisse über die besprochenen Themen verschiedenen geografischen Regionen und zu Zeitpunkten erlangt. Auch weitere Parameter Autorenschaft eine zusätzl...

In this paper, we propose a configurable topic modeling framework named Familia. Familia supports an important line of models that are widely applicable in text engineering scenarios. order to relieve burdens software engineers without knowledge Bayesian networks, is able conduct automatic parameter inference for variety models. Simply through changing the data organization Familia, easily expl...

BACKGROUND With the rapid accumulation of biological datasets, machine learning methods designed to automate data analysis are urgently needed. In recent years, so-called topic models that originated from the field of natural language processing have been receiving much attention in bioinformatics because of their interpretability. Our aim was to review the application and development of topic ...