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

ACL ID S14-2058
Title INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

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.