Studying Memory with Natural Language Processing

In this symposium, we discuss how natural language processing is being used to characterize and quantify features of memory retrieval. We illustrate this with examples from aging research, the study of spontaneous thoughts, and methods development work. Throughout, we highlight approaches such as topic modeling, text embeddings, and dictionary-based scoring.