Detecting Relationship between Features and Sentiment Words using Hybrid of Typed Dependency Relations Layer and POS Tagging (TDR Layer POS Tags) Algorithm

<p class='IJASEITAbtract'><span lang='EN-AU'>Through online product reviews, consumers share their opinions, criticisms and satisfactions on the products they have purchased. However, the abundance of product reviews may be confusing and time-consuming for prospective customers as they read and analyze differing views before buying a product. The unstructured format of product reviews needs a sentiment mining approach in analyzing customers’ comments on a product and its features. In this paper, the researchers explore and analyze the hybrid role of typed dependency relations (TDR) and part-of-speech tagging (POST) in detecting the relation between features and sentiment words. The researchers have also created a list of combination rules using TDR and POST to serve as a guide in identifying the relation between features and sentiment words in sentences. Results have shown that the hybrid algorithm could assist in identifying such a relationship and improve performance.</span>