Design feature opinion cause analysis: a method for extracting design intelligence from web reviews Online publication date: Sat, 05-Mar-2016
by Ismail Art Yagci; Sanchoy Das
International Journal of Knowledge and Web Intelligence (IJKWI), Vol. 5, No. 2, 2015
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Web Intelligence (IJKWI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook