This paper investigates the impact of news media information on improving short-term GDP growth forecasts by analyzing a large and unique corpus of 12.4 million news articles spanning from 1991 to 2018. We extract business cycle-related sentiment from each article using an annotated dataset from...

Determining the sentiment of a written text is an important task in text research. This task can be performed either in the supervised or unsupervised version. In this paper, we propose a novel unsupervised algorithm for documents written in any language using documents written in Polish as an...

We study the Latent Dirichlet Allocation model, a popular Bayesian algorithm for text analysis. We show that the model's parameters are not identified, which suggests that the choice of prior matters. We characterize the range of values that the posterior mean of a given functional of the...

Mit der UN-Agenda 2030 der und dem Onlinezugangsgesetz verpflichtet sich Deutschland zu einer nachhaltigen Entwicklung und der Digitalisierung von Verwaltungsleistungen. Digitalisierung und Nachhaltigkeit sind zwei Querschnittsthemen. Sie ergänzen sich und haben inhaltliche Schnittmengen. So...