Sentiment Aggregation using ConceptNet Ontology

Abstract

Sentiment analysis of reviews traditionally ig-nored the association between the features of the given product domain. The hierarchical re-lationship between the features of a product and their associated sentiment that influence the polarity of a review is not dealt with very well. In this work, we analyze the influence of the hierarchical relationship between the prod-uct attributes and their sentiments on the over-all review polarity. ConceptNet is used to automatically create a product specific ontol-ogy that depicts the hierarchical relationship between the product attributes. The ontology tree is annotated with feature-specific polari-ties which are aggregated bottom-up, exploit-ing the ontological information, to find the overall review polarity. We propose a weakly supervised system that achieves a reasonable performance improvement over the baseline without requiring any tagged training data. 1