AUEB: Two Stage Sentiment Analysis of Social Network Messages
Rafael Michael Karampatsis, John Pavlopoulos, Prodromos Malakasiotis · 2014
This paper describes the system submitted for the Sentiment Analysis in Twitter Task of SEMEVAL 2014 and specifically the Message Polarity Classification subtask.We used a 2-stage pipeline approach employing a linear SVM classifier at each stage and several features including morphological features, POS tags based features and lexicon based features.