A novel approach based on review mining for product usability analysis
Mingxing Wu, Liya Wang, Yi Li · 2013
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.