ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification - researchr publication authors

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Yunxiao Zhou, Man Lan, Yuanbin Wu. ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification. In Steven Bethard, Daniel M. Cer, Marine Carpuat, David Jurgens, Preslav Nakov, Torsten Zesch, editors, Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016. pages 812-816, The Association for Computer Linguistics, 2017. [doi]

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