Sverker Sikström
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- 2022
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Mark
Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy
(
- Contribution to journal › Article
- 2021
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Mark
Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry
(
- Contribution to journal › Article
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Mark
Neurofeedback Rehabilitation Reduces Anxiety in Methamphetamine Abusers
(
- Contribution to journal › Article
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Mark
Voters' view of leaders during the Covid-19 crisis : Quantitative analysis of keyword descriptions provides strength and direction of evaluations
(
- Contribution to journal › Article
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Mark
Reevaluating the Influence of Leaders Under Proportional Representation : Quantitative Analysis of Text in an Electoral Experiment
(
- Contribution to journal › Article
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Mark
Computational Language Assessments of Harmony in Life - Not Satisfaction With Life or Rating Scales - Correlate With Cooperative Behaviors
(
- Contribution to journal › Article
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Mark
What you say and what I hear-Investigating differences in the perception of the severity of psychological and physical violence in intimate partner relationships
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- Contribution to journal › Article
- 2020
-
Mark
Generalization in Legal Argumentation
(
- Contribution to journal › Article
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Mark
Validation of a general subjective well-being factor using Classical Test Theory
(
- Contribution to journal › Article
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Mark
Linguistic : Application of LSA to predict linguistic maturity and language disorder in children
2020) p.237-248(
- Chapter in Book/Report/Conference proceeding › Book chapter