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        <title>EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions</title>
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        <namePart type="given">Thomas</namePart>
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    <name type="personal">
        <namePart type="given">Stefan</namePart>
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            <namePart type="given">Veronique</namePart>
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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%.</abstract>
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%0 Conference Proceedings
%T EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
%A Proisl, Thomas
%A Heinrich, Philipp
%A Kabashi, Besim
%A Evert, Stefan
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y Hoste, Veronique
%Y Klinger, Roman
%S Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F proisl-etal-2018-emotiklue
%X 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%.
%R 10.18653/v1/W18-6234
%U https://aclanthology.org/W18-6234/
%U https://doi.org/10.18653/v1/W18-6234
%P 235-242

Markdown (Informal)

[EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions](https://aclanthology.org/W18-6234/) (Proisl et al., WASSA 2018)

• EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions (Proisl et al., WASSA 2018)

ACL

• Thomas Proisl, Philipp Heinrich, Besim Kabashi, and Stefan Evert. 2018. EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 235–242, Brussels, Belgium. Association for Computational Linguistics.