<hi xmlns="http://www.tei-c.org/ns/1.0" rend="">For the two classification tasks, we compared performance of dictionary-based and transfer-learning (TL) based sentiment analysis (SA). To use dictionary-based SA systematically, a repository of twelve open-source German-language SA lexicons was created (see Table 1). Lexicon formats were uniformed to automatically annotate reviews for sentiment in a processing pipeline. For the TL approaches, we chose BERT and FastText, both of which based on distributional representations of natural language (see Devlin et al., 2019; Mikolov et al., 2017</hi>) <hi xmlns="http://www.tei-c.org/ns/1.0" rend="">.</hi>