IHS-RD-Belarus at SemEval-2016 task 5: Detecting sentiment polarity using the heatmap of sentence

Abstract

This paper describes the system submitted by IHS-RD-Belarus team for the sentiment detection polarity subtask on Aspect Based Sentiment Analysis task at the SemEval 2016 workshop on semantic evaluation. We developed a system based on artificial neural network to detect the sentiment polarity of opinions. Evaluation on the test data set showed that our system achieved the F-score of 0.83 for restaurants domain (rank 4 out of 28 submissions) and F-score of 0.78 for laptops domain (rank 4 out of 21 submissions)..