Towards a Unified Framework for Emotion Analysis

• URL: http://arxiv.org/abs/2012.00190v1
• Date: Tue, 1 Dec 2020 00:54:13 GMT
• Title: Towards a Unified Framework for Emotion Analysis
• Authors: Sven Buechel, Luise Modersohn, and Udo Hahn
• Abstract summary: EmoCoder is a modular encoder-decoder architecture that generalizes emotion analysis over different tasks. EmoCoder learns an interpretable language-independent representation of emotions.
• Score: 12.369106010767283
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present EmoCoder, a modular encoder-decoder architecture that generalizes emotion analysis over different tasks (sentence-level, word-level, label-to-label mapping), domains (natural languages and their registers), and label formats (e.g., polarity classes, basic emotions, and affective dimensions). Experiments on 14 datasets indicate that EmoCoder learns an interpretable language-independent representation of emotions, allows seamless absorption of state-of-the-art models, and maintains strong prediction quality, even when tested on unseen combinations of domains and label formats.

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