Causal Rater for Story-Causal Relationship Analysis

Introduction to Causal Rater for Story

Causal Rater for Story is designed to analyze narratives by identifying and rating the strength of causal relationships between events within a story. Its primary function is to dissect stories into individual events and then assess how these events are causally connected to each other. This process involves comparing pairs of events and determining the extent to which one event directly causes or influences the occurrence of another on a scale of 1-10. The tool is built to facilitate deeper understanding of narrative structure, highlight the cause-and-effect mechanisms that drive the plot forward, and assist in the evaluation of story coherence and complexity. For example, in a story where a character learns a secret (Event A) and then uses that knowledge to solve a problem (Event B), the Causal Rater would identify a strong causal relationship between these two events, given that the knowledge directly leads to the problem's resolution. Powered by ChatGPT-4o。