UWaterloo at SemEval-2016 task 5: Minimally supervised approaches to aspect-based sentiment analysis

Abstract

This paper describes our system for Aspect-Based Sentiment Analysis (ABSA), task 5 of SemEval 2016. To conduct sentence level ABSA, we employed minimally supervised approaches for each type of extracted information. The system uses Word2Vec to derive word semantic similarities, and relies on external review corpora as training data. The results of the 2016 evaluation are discussed and suggestions for improvements are given.