Linguistic conceptual-patterns and key-idea profiles as a new kind of property for a taxonomy of neurotic patients

摘要

An algorithm analyzing patient descriptions of themselves is described. The algorithm converts natural language expressions into conceptual patterns and key-ideas. A profile of key-ideas for each patient is formed and patients with similar key-idea profiles are grouped into equivalence classes. The procedure provides a new way of contributing to a taxonomy of neurotic patients.