Recognition of emotions, valence and arousal in large-scale multi-domain text reviews

Place of publication:

• 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and LinguisticsAt: Poznań, Poland

Title:

Recognition of emotions, valence and arousal in large-scale multi-domain text reviews

Authors:

Jan Kocoń, Arkadiusz Janz, Piotr Miłkowski, Monika Riegel, Małgorzata Wierzba, Artur Marchewka, Agnieszka Czoska, Damian Grimling, Barbara Konat, Konrad Juszczyk, Katarzyna Klessa, Maciej Piasecki

Abstract:

In this article, we present a novel multidomain dataset of Polish text reviews. The data were annotated as part of a large study involving over 20,000 participants. A total of 7,000 texts were described with metadata, each text received about 25 annotations concerning polarity, arousal and eight basic emotions, marked on a multilevel scale. We present a preliminary approach to data labelling based on the distribution of manual annotations and to the classification of labelled data using logistic regression and bi-directional long short-term memory recurrent neural networks.

Link:

ResearchGate