CPM Corpus: An emotion corpus annotated with emotion components

A reannotation of Twitter and Literature data following Scherer's emotion theory

Title for Resource

Type

Corpus

Author

Felix Casel, Amelie Heindl, Roman Klinger

Description

We reannotate parts of the TEC corpus and the REMAN corpus following the emotion component process model by Scherer, namely that the emotion is communicated by describing an event appraisal, a bodily reaction, an action tendency, a subjective feeling or an expression. In the associated paper, we show that emotions are communicated differently in social media and literature and that emotion component prediction improves emotion classification.

Reference

Felix Casel, Amelie Heindl, and Roman Klinger.
Emotion recognition under consideration of the emotion component process model.
In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), Düsseldorf, Germany, 2021.
German Society for Computational Linguistics & Language Technology.
https://arxiv.org/abs/2107.12895

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PD Dr.

Roman Klinger

Senior Lecturer (Akademischer Oberrat)

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