theme-extraction

Extract themes and motifs from a story graph by identifying explicit themes from tags and event labels, inferring implicit themes from character arcs, and tracking recurring symbolic patterns to reveal deeper narrative meaning.

Symbolic analysis in narrative structure interprets settings, objects, and recurring motifs as abstract concepts, tracking how their meanings evolve across story events to support thematic depth exploration and symbolic interpretation.

Yes, implicit theme detection derives hidden thematic meanings by analyzing character arcs and conflict patterns within the story graph, moving beyond explicit tags to uncover deeper narrative subtext.

Generate structured thematic analysis reports by running story graph analysis to output explicit themes, tracked motifs, and symbolic interpretations, creating formatted depth reports suitable for teaching, reviews, and exports.

Theme extraction supports motif tracking by monitoring recurring motifs across story events and mapping how their symbolic meanings evolve, enabling rigorous narrative analysis and consistent thematic depth exploration.

Limitations of inferring thematic depth include relying entirely on the structural completeness of the story graph, meaning missing event labels, character traits, or conflict data will restrict the accuracy of explicit and implicit theme detection.