Delineating relevant antitrust markets poses substantial challenges, particularly so in nascent, digital markets, where data on prices, quantities, and costs often are not available. This study evaluates a complementary approach using Natural Language Processing techniques along with business descriptions of relevant firms to define markets. Applying this method to a sample of start-up acquisitions, we find considerable overlap between our approach and expert assessments by the European Commission.