In this paper, we present work in progress towards a methodology for the analysis of domain-specific sentiment. In our case, we consider highly specialized scientific disciplines at the boundaries of computer science and selected other disciplines (e.g., computational linguistics, bioinformatics). Our approach is corpus-based and comprises the detection, extraction and annotation of features related to sentiment expressions, focusing on opinion targets.