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EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions

2018-10-01WS 2018Code Available0· sign in to hype

Thomas Proisl, Philipp Heinrich, Besim Kabashi, Stefan Evert

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Abstract

EmotiKLUE is a submission to the Implicit Emotion Shared Task. It is a deep learning system that combines independent representations of the left and right contexts of the emotion word with the topic distribution of an LDA topic model. EmotiKLUE achieves a macro average F₁score of 67.13\%, significantly outperforming the baseline produced by a simple ML classifier. Further enhancements after the evaluation period lead to an improved F₁score of 68.10\%.

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