<hi xmlns="http://www.tei-c.org/ns/1.0" style="font-size:12pt">The presented research evaluates the influence of hyperparameter Alpha in topic modeling on a German newspaper corpus and a German literary text corpus from two perspectives, single-label document classification, and topic coherence. Based on the results of the presented investigation, it can be stated that one should avoid training topic models with a setting of the Alpha of each topic to greater than 1 in order to ensure better topic modeling based document classification results and to get more coherent topics. In addition to that, LDA topic models with many topics are more vulnerable to changes in Alpha. Therefore, with the result of the presented investigations in this study, one can confirm the explanation of Mimno mentioned earlier that a smaller Alpha is better suitable for LDA Topic Modeling.</hi>