Design feature opinion cause analysis: a method for extracting design intelligence from web reviews

Abstract

Web reviews are a readily available source of product intelligence. The hypothesis of this research is that web reviews also contain significant amounts of design information for product designers. The authors introduce the design-feature-opinion-cause relationship DFOC method, which effectively extracts design intelligence from unstructured web reviews. The DFOC method: 1 creates a sentence-based web review database; 2 mines the database to identify design features that are of interest to both designers and users; 3 extracts and estimates the significance and polarity of the customer opinions; 4 identifies the likely design cause of the customer opinion. DFOC utilises an association rule-based opinion mining procedure for capturing and extracting noun-adjective and noun-verb relationships. Application of the DFOC method utilising RapidMiner is demonstrated for an automobile. Example features and feature-opinion-cause associations are shown along with the observed opinion polarity score and cause association strength.