UFAL at SemEval-2016 Task 5: Recurrent Neural Networks for Sentence Classification

Abstract

This paper describes our system for aspect-based sentiment analysis (ABSA). We participate in Subtask 1 (sentence-level ABSA), focusing specifically on aspect category detection.

We train a binary classifier for each category. This year’s addition of multiple languages makes language-independent approaches attractive.

We propose to utilize neural networks which should be capable of discovering linguistic patterns in the data automatically, thereby reducing the need for language-specific tools and feature engineering.

Keywords

• ufal
• semeval
• 2016
• task
• recurrent
• neural
• networks
• sentence
• classification