Natural language processing-based algorithmic decision support system in identifying psychological conflicts using thematic apperception test.

ABSTRACT:

Background

Thematic apperception test (TAT) is a personality assessment measure widely applied in various clinical conditions. By analyzing written stories, clinicians can unveil the unconscious dynamics of the mind, including unconscious needs, presses, emotions, and ego defense mechanisms. Natural language processing (NLP) encompasses text feature extraction techniques, such as tokenization, stemming, lemmatization, and removal of stopwords. Recently, NLP-based methods have gained popularity among researchers for analyzing psychological attributes and predicting human behavior. As the TAT is one of the most extensively utilized projective psychological tests with many clinical applications, it is pertinent to explore the potential impact of NLP on its scoring process.

Aim

SUBMITTER: Ranjan JK 

PROVIDER: S-EPMC12574727 | biostudies-literature | 2025 Sep-Dec

REPOSITORIES: biostudies-literature