Natural Language Processing

Adaptive Language-based Mental Health Assessment with Item-Response Theory

Introducing adaptive language-based assessments using IRT to improve mental health diagnostics with fewer questions.

Vasudha Varadarajan, Sverker Sikström, Oscar N.E. Kjell, H. Andrew Schwartz

Adaptive Language-based Mental Health Assessment with Item-Response Theory

Doing well-being: Self-reported activities are related to subjective well-being

This article investigates how individuals’ self-reported activities relate to subjective well-being, using innovative NLP methods to analyze open-ended responses.

August Håkan Nilsson, Erik Hellryd, Oscar Kjell

Doing well-being: Self-reported activities are related to subjective well-being

Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry

AI-analyzed word responses predict symptoms of depression, anxiety, and worry, supporting computational methods as a complement to traditional assessments.

Katarina Kjell, Per Johnsson, Sverker Sikström

Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry

Semantic Measures: Using Natural Language Processing to Measure, Differentiate, and Describe Psychological Constructs

Semantic measures provide a robust alternative to numerical scales for assessing psychological constructs, utilizing natural language processing to analyze open-ended responses.

Oscar N. E. Kjell, Katarina Kjell, Danilo Garcia, Sverker Sikström

Semantic Measures: Using Natural Language Processing to Measure, Differentiate, and Describe Psychological Constructs