@inproceedings{hao-etal-2017-xjsa,
    title = "{XJSA} at {S}em{E}val-2017 Task 4: A Deep System for Sentiment Classification in {T}witter",
    author = "Hao, Yazhou  and
      Lan, YangYang  and
      Li, Yufei  and
      Li, Chen",
    editor = "Bethard, Steven  and
      Carpuat, Marine  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      Cer, Daniel  and
      Jurgens, David",
    booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/S17-2122/",
    doi = "10.18653/v1/S17-2122",
    pages = "728--731",
    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."
}