Think Positive: Towards Twitter Sentiment Analysis from Scratch

Abstract

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.