Optimal Partitioning for Classification and Regression Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mining Text Using Keyword Distributions
Journal of Intelligent Information Systems
Textual Data Mining to Support Science and Technology Management
Journal of Intelligent Information Systems
Bibliometric cartography of information retrieval research by using co-word analysis
Information Processing and Management: an International Journal
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
An e-mail analysis method based on text mining techniques
Applied Soft Computing
Visualization method for customer targeting using customer map
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Detecting weak signals for long-term business opportunities using text mining of Web news
Expert Systems with Applications: An International Journal
A methodology to map customer complaints and measure customer satisfaction and loyalty
Service Oriented Computing and Applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Websites can be effective vehicles for firms to communicate with their customers but the use of websites has been limited to pacifying complaint customers. To better use a website's information, this research presents a framework for extracting customer opinions from websites and transforming them into product specification data. For the purpose, firstly, customer opinions were collected from an online customer center and then transformed into customer needs using text-mining. Then, after customers were segmented into several groups based on their needs, relations among their needs were visualized by co-word analysis and product specifications to meet those needs t analyzed by decision tree. Lastly, a final target product specification for new products were determined and a target market was identified based on customer profile data. The suggested framework enables to incorporate customer opinions efficiently with new product development processes and to design online customer centers to better collect and analyze useful information.