XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter

Abstract

This paper describes the XJSA System submission from XJTU. Our system was created for SemEval2017 Task 4 – subtask A which is very popular and fundamental. The system is based on convolutional neural network and word embedding. We used two pre-trained word vectors and adopt a dynamic strategy for k-max pooling. 
DOI: 10.18653/v1/S17-2122

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