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    <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.</abstract>
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%0 Conference Proceedings
%T XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter
%A Hao, Yazhou
%A Lan, YangYang
%A Li, Yufei
%A Li, Chen
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F hao-etal-2017-xjsa
%X 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.
%R 10.18653/v1/S17-2122
%U https://aclanthology.org/S17-2122
%U https://doi.org/10.18653/v1/S17-2122
%P 728-731

Markdown (Informal)

[XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter](https://aclanthology.org/S17-2122) (Hao et al., SemEval 2017)

• XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter (Hao et al., SemEval 2017)

ACL

• Yazhou Hao, YangYang Lan, Yufei Li, and Chen Li. 2017. XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 728–731, Vancouver, Canada. Association for Computational Linguistics.