Search Results for author: Kai Sassenberg

Found 2 papers, 0 papers with code

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users

no code implementations WASSA (ACL) 2022 Anne Kreuter, Kai Sassenberg, Roman Klinger

We investigate this approach for personality profiling, and evaluate BERT classifiers fine-tuned on such psychometric test items for the big five personality traits (openness, conscientiousness, extraversion, agreeableness, neuroticism) and analyze various augmentation strategies regarding their potential to address the challenges coming with such a small corpus.

Data Augmentation

Appraisal Theories for Emotion Classification in Text

no code implementations COLING 2020 Jan Hofmann, Enrica Troiano, Kai Sassenberg, Roman Klinger

Automatic emotion categorization has been predominantly formulated as text classification in which textual units are assigned to an emotion from a predefined inventory, for instance following the fundamental emotion classes proposed by Paul Ekman (fear, joy, anger, disgust, sadness, surprise) or Robert Plutchik (adding trust, anticipation).

Emotion Classification General Classification +1

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