What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts

Authors: Sanja Stajner, Seren Yenikent, Bilal Ghanem, Marc Franco-Salvador

Abstract

According to the self-determination theory, the levels of satisfaction of three basic needs (competence, autonomy and relatedness) have implications on people’s everyday life and career. We benchmark the novel task of automatically detecting those needs on short posts in English, by modelling it as a ternary classification task, and as three binary classification tasks. A detailed manual analysis shows that the latter has advantages in the real-world scenario, and that our best models achieve similar performances as a trained human annotator.

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