Using text mining for consumer network evaluation in car beauty investigate

• Main Authors: Hsu Chung-Chuan, 許中銓
• Other Authors: Jia-Yan Huang
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/32045457537246609906

碩士 === 國立勤益科技大學 === 資訊管理系研發科技與資訊管理碩士在職專班 === 103 === The rapid development of the Taiwan automotive industry has put forward the growth of auto-related industries. Auto detailing, among all, though has stood in great numbers recently, more than a few dealers in fact close their business hastily. Therefore, how to provide innovative service and the quality that consumers require has become the key point in the competitive market. Given the fact that consumers’ online word of mouth serves as important basis for future improvement, this thesis aims to probe into what consumers see as good service. By text mining, the data collected and analyzed was based on the present popular online forums. Targets were investigated and classified into four categories after eliminating unnecessary key words to explore the differences from customers’ online word of mouth. Multidimensional scaling method was also applied for perceptual schema to represent such differences for consumers’ needs as future reference.