Paper: Think Positive: Towards Twitter Sentiment Analysis from Scratch

ACL ID S14-2115
Title Think Positive: Towards Twitter Sentiment Analysis from Scratch
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

In this paper we describe a Deep Convo- lutional Neural Network (DNN) approach to perform two sentiment detection tasks: message polarity classification and con- textual polarity disambiguation. We apply the proposed approach for the SemEval- 2014 Task 9: Sentiment Analysis in Twit- ter. Despite not using any handcrafted feature or sentiment lexicons, our system achieves very competitive results for Twit- ter data.