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Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task
The CLPsych 2018 Shared Task B explores how childhood essays can predict psychological distress throughout the author{'}s life.
A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts
Many methods have been used to recognise author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e. g. linear regression or Support Vector Machines.
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Many methods have been used to recognize author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e. g. linear regression or Support Vector Machines.
Toward Automatic Understanding of the Function of Affective Language in Support Groups
Understanding expressions of emotions in support forums has considerable value and NLP methods are key to automating this.
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