Our results highlight the higher efficiency of TL-methods (see Table 4) and of dictionaries based on vector space models (like SentiArt and AffectiveNorms). They show that computational methods can reliably identify sentiment of book reviews in German. In order to fruitfully use similar methodology to identify types of engagement by reviewers with literature beyond the descriptive/evaluative and positive/negative dichotomies, a useful next step will be to attempt the design of TL-tasks for the identification of more fine-grained evaluative practices. These include the construction of and orientation to particular evaluative scales (e.g. reading pleasure, literary quality) and particular subjects of evaluation (e.g. novels, authors, characters).