A case study demonstrates that Correspondence Analysis (Geometric Data Analysis) can be applied to dream report narratives to validate the Core Conflictual Relationship Theme (CCRT) method. The analysis uses relatively extensive dream reports from an open-source repository. The authors propose a framework for analyzing dream report narratives and suggest its relevance within psychotherapeutic contexts. The Geometric Data Analysis confirms the validity of the CCRT method for verbalizing and visualizing data, which is also termed data mining and text mining.
An ultrametric topology mathematically models Ignacio Matte Blanco's principles of symmetric and asymmetric being, as described in his 1975 book. This model corresponds to hierarchical clustering in empirical data, such as text. The ultrametric structure captures the logic of symmetric being, which underlies reasoning that lacks self-awareness or consciousness, as well as conscious reasoning. A companion paper examines how symmetric reasoning can be identified within narrative text that contains both symmetric and asymmetric reasoning.