At the moment we do sentiment on a project by project basis using sentiment kernels based on a knowledge-based approach. The goal of Concepts is that on the analysis side we don’t rely on the subjectivity of sentiment but on actionable categories that may have sentiment features. For example, the Concept “customer+service” may have specific Concepts like “good” or “horrible” or there may be Concepts like “never+fly” or “worst+ever” about bad experiences with companies that can be used to trigger alerts.
 
Our partner company Séntisis provides sentiment for the Spanish language through an API that is sold together with Lang.ai’s Concept induction process and other products they offer.

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