CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter
Sebastian Ebert, Ngoc Thang Vu, Hinrich Schütze · 2015
This paper describes our automatic sentiment analysis system -CIS-positive -for SemEval 2015 Task 10 "Sentiment Analysis in Twitter", subtask B "Message Polarity Classification".In this system, we propose to normalize the Twitter data in a way that maximizes the coverage of sentiment lexicons and minimizes distracting elements.Furthermore, we integrate the output of Convolutional Neural Networks into Support Vector Machines for the polarity classification.Our system achieves a macro F 1 score of the positive and negative class of 59.57 on the SemEval 2015 test data.