A method of product feature usability analysis based on web semantic mining

Product usability is an evaluation indicator of customer satisfaction with product features and functions. Questionnaire survey is traditional methods widely used in product feature usability analysis. In fact, it is labour intensive and time consuming. Nowadays, with the rapid expansion of web, more and more customers tend to express their opinions on products through it. As a result, the number of reviews on certain product grows rapidly. This paper proposes a novel method based on web semantic mining of Chinese customer reviews to analyse product feature usability. First, useful information corresponding to product feature usability, such as customers’ reviews of products, is extracted from webs based on the semantic mining technology with an information system, called Web Miner. Then the product feature usability is measured and evaluated by evaluation model. Finally, usability analysis of Nokia 5230 is used as a case to validate the proposed method.

[1]  Dun Li,et al.  Words semantic orientation classification based on HowNet , 2009 .

[2]  Songbo Tan,et al.  Optimizing modularity to identify semantic orientation of Chinese words , 2010, Expert Syst. Appl..

[3]  Bing Liu,et al.  Opinion observer: analyzing and comparing opinions on the Web , 2005, WWW '05.

[4]  Gavriel Salvendy,et al.  Diversified users’ satisfaction with advanced mobile phone features , 2006, Universal Access in the Information Society.

[5]  Gilsoo Cho,et al.  Development of a usability evaluation framework with quality function deployment: From customer sensibility to product design , 2009 .

[6]  Adem Karahoca,et al.  Individual differences in usability of cell phone SMS menus , 2006 .

[7]  Jeongyun Heo,et al.  Conceptual framework and models for identifying and organizing usability impact factors of mobile phones , 2006, OZCHI '06.

[8]  Myung Hwan Yun,et al.  Identifying mobile phone design features critical to user satisfaction , 2004 .

[9]  Qun Liu,et al.  基於《知網》的辭彙語義相似度計算 (Word Similarity Computing Based on How-net) [In Chinese] , 2002, ROCLING/IJCLCLP.

[10]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[11]  Sung H. Han,et al.  A comparison of screening methods: Selecting important design variables for modeling product usability , 2003 .

[12]  Tonya L. Smith-Jackson,et al.  Reliability and validity of the mobile phone usability questionnaire (MPUQ) , 2006 .

[13]  Martin C. Maguire,et al.  Context of Use within usability activities , 2001, Int. J. Hum. Comput. Stud..

[14]  James F. Allen.  Natural language understanding , 1987, Bejnamin/Cummings series in computer science.

[15]  Martina Ziefle,et al.  How older adults meet complexity: Aging effects on the usability of different mobile phones , 2005, Behav. Inf. Technol..

[16]  Hiroshi Nakagawa,et al.  A Simple but Powerful Automatic Term Extraction Method , 2002, COLING 2002.

[17]  John K. Debenham,et al.  Informed Recommender: Basing Recommendations on Consumer Product Reviews , 2007, IEEE Intelligent Systems.

[18]  Oren Etzioni,et al.  Extracting Product Features and Opinions from Reviews , 2005, HLT.

[19]  Kasper Hornbæk,et al.  Current practice in measuring usability: Challenges to usability studies and research , 2006, Int. J. Hum. Comput. Stud..

[20]  Keiko Kasamatsu,et al.  Clarification of Kansei Elements of Attractiveness Related to Usability for Long Term Mobile Phone Users , 2011, HCI.

[21]  A M Wichansky,et al.  Usability testing in 2000 and beyond , 2000, Ergonomics.

[22]  Jurek Kirakowski,et al.  What is Usability , 1991 .

[23]  Eric Chang,et al.  Red Opal: product-feature scoring from reviews , 2007, EC '07.

[24]  Andreas Hotho,et al.  Semantic Web Mining: State of the art and future directions , 2006, J. Web Semant..