Dependency driven semantic approach to product features extraction and summarization using customer reviews

Abstract

Customer reviews include opinions of the customer who purchased the products and expressed opinions may be regarding their satisfaction and criticism about different features of the product. In this paper we aim to mine different product features based on customer opinion expressed in the review and also to identify the opinion sentences associates with the extracted product features to find opinion summarization. We propose a semantic based approach using typed dependency relations to identify the product features based on the opinion word associated with it using different dependencies.