Dr. Christopher Potts's group uses computational methods to explore how emotion is expressed in language and how linguistic production and interpretation are influenced by the context of utterance. This research combines methods from linguistics, cognitive psychology, and computer science, in the service of both scientific discovery and technology development. In many cases, they have taken theoretical models of language use and applied techniques from machine learning to scale those models for use on massive data sets and in complex environments.