DocumentCode
3278321
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
fYear
2013
fDate
23-25 May 2013
Firstpage
942
Lastpage
945
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4673-4997-0
Type
conf
DOI
10.1109/ICSESS.2013.6615461
Filename
6615461
Link To Document