Predicting human behavior by machine learning of natural language interpretations

A system for building geospatial “thought maps” by analyzing natural language utterances alongside location and contextual signals such as time, emotion, and user identity. Interpreted expressions are stored and linked in a searchable database, enabling spatiotemporal analysis to visualize collective intent, predict individual and group behavior, and drive applications such as personalized information delivery and location-based advertising.