Topic Modeling and Clustering

This session matters because interpretable themes are essential for turning large corpora into strategic narratives. Building on the NLP pipeline, students apply topic modeling and embedding-based clustering. The session connects textual signals to the earlier network work by emphasizing coherence and interpretability. Students produce a topic map and clustering notes that label themes and trajectories. Skills developed include model fitting, coherence evaluation, and thematic interpretation. These thematic structures become inputs for emergence detection and forecasting logic.