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In this paper we describe a Deep Convolutional Neural Network (DNN) approach to perform two sentiment detection tasks: message polarity classification and contextual polarity disambiguation. We apply the proposed approach for the SemEval-2014 Task 9: Sentiment Analysis in Twitter. Despite not using any handcrafted feature or sentiment lexicons, our system achieves very competitive results for Twitter data.
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Cícero dos Santos (2014) studied this question.