  We propose a new graph-based framework to reveal relationships among
motivations, emotions and actions explicitly given natural language texts. A
directed acyclic graph is designed to describe human's nature. Nurture beliefs
are incorporated to connect outside events and the human's nature graph. No
annotation resources are required due to the power of large language models.
Amazon Fine Foods Reviews dataset is used as corpus and food-related
motivations are focused. Totally 92,990 relationship graphs are generated, of
which 63% make logical sense. We make further analysis to investigate error
types for optimization direction in future research.
