EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
Thomas Proisl, Philipp Heinrich, Besim Kabashi, Stefan Evert · 2018
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 F 1 score of 67.13%, significantly outperforming the baseline produced by a simple ML classifier.Further enhancements after the evaluation period lead to an improved F 1 score of 68.10%.