Title :
A novel approach based on review mining for product usability analysis
Author :
Mingxing Wu ; Liya Wang ; Li Yi
Author_Institution :
Dept. of Ind. Eng. & Manage., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
This paper proposes a novel approach based on review mining to analyze product usability. The massive online customer reviews on products is used as source data. Opinion mining technology is adopted to translate the unstructured reviews into structured feature-opinion pairs. Then, factor analysis technique is utilized to extract the feature-opinion pairs related to usability for product usability evaluation. Finally, a case study is presented to prove the effectiveness of the proposed approach.
Keywords :
customer satisfaction; data mining; reviews; statistical analysis; factor analysis technique; feature-opinion pair extraction; online customer reviews; opinion mining technology; product usability analysis; product usability evaluation; review mining based approach; source data; structured feature-opinion pairs; unstructured review translation; Batteries; Cameras; Dictionaries; Reliability; factor analysis; product usability; review mining;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615461
