This paper describes the GermEval 2017 shared task on Aspect-Based Sentiment Analysis that consists of four subtasks: relevance, document-level sentiment polarity, aspect-level polarity ad opinion target extraction. System performance is measured on two evaluation sets – one from the same time period as the training and development set, and a second one, which contains data from a later time period. We describe the subtasks and the data in detail and provide the shared task results. Overall, the shared task attracted over 50 system runs from 8 teams.