INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis

This work analyses various syntactic and lexical features for sentence level aspect based sentiment analysis. The task fo-cuses on detection of a writer’s sentiment towards an aspect which is explicitly men-tioned in a sentence. The target sentiment polarities are positive, negative, conflict and neutral. We use a supervised learning approach, evaluate various features and report accuracies which are much higher than the provided baselines. Best features include unigrams, clauses, dependency re-lations and SentiWordNet polarity scores.