Iit-tuda at semeval-2016 task 5: Beyond sentiment lexicon: Combining domain dependency and distributional semantics features for aspect based sentiment analysis

Amit Kumar, Asif Ekbal, Chris Biemann

Abstract: This paper reports the IIT-TUDA participation in the SemEval 2016 shared Task 5 of Aspect Based Sentiment Analysis (ABSA) for subtask 1. We describe our system incorporating domain dependency graph features, distributional thesaurus and unsupervised lexical induction using an unlabeled external corpus for aspect based sentiment analysis. Overall, we submitted 29 runs, covering 7 languages and 4 different domains. Our system is placed first in sentiment polarity classification for the English laptop domain, Spanish and Turkish restaurant reviews, and opinion target expression for Dutch and French in restaurant domain, and scores in medium ranks for aspect category identification and opinion target extraction.