NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity

WS 2017 Vladimir AndryushechkinIan WoodJames O{'} Neill

This paper describes the entry NUIG in the WASSA 2017 (8th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis) shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word embeddings (for BLSTM features)... (read more)

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