Identification of transdiagnostic phenomena among patients, the general population, relatives, and mental health professionals using topic modeling techniques.

ABSTRACT:

Introduction

Recent research has highlighted the limitations of the categorical approach to mental disorders and has increasingly supported the development of a transdiagnostic perspective. This emerging approach focuses on common distal factors (circumstantial, biological, and social) and psychological processes that contribute to psychological suffering across a range of disorders, as well as on the resulting psychological symptoms. The present study aims to identify transdiagnostic distal factors, psychological processes, and symptoms by analyzing narratives through topic modeling-an unsupervised machine learning technique, specifically within Natural Language Processing (NLP). Topic modeling enables the automatic extraction of latent themes from unstructured text, making it pos

SUBMITTER: Vancappel A 

PROVIDER: S-EPMC12815773 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature