Design feature opinion cause analysis: a method for extracting design intelligence from web reviews. (2015)

• Record Type: Journal Article
• Authors: Yagci, Ismail Art; Das, Sanchoy
• Is Part Of: International journal of knowledge and web intelligence. Volume 5:Number 2(2015)
• Page Start: 127
• Page End: 145
• Publication Date: 2015
• Subjects: DFOC -- opinion mining -- web reviews -- design features -- feature extraction -- feature opinion -- sentiment analysis -- design intelligence -- product intelligence -- product design -- customer opinions -- association rules mining -- vehicle design; Information retrieval -- Periodicals; Web site development -- Periodicals; Internet programming -- Periodicals; 004.67805
• Languages: English
• ISSNs: 1755-8255

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.