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arxiv: 1804.04380 · v1 · pith:THESRO5Snew · submitted 2018-04-12 · 💻 cs.CL · stat.ML

Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

classification 💻 cs.CL stat.ML
keywords sub-taskstrainingamobeeattentionclassificationenglishmechanismnetwork
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This paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018. We participated in all the English sub-tasks and the Spanish valence tasks. Our system consists of three parts: training task-specific word embeddings, training a model consisting of gated-recurrent-units (GRU) with a convolution neural network (CNN) attention mechanism and training stacking-based ensembles for each of the sub-tasks. Our algorithm reached 3rd and 1st places in the valence ordinal classification sub-tasks in English and Spanish, respectively.

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